Quality LiDAR Scanning System & UAV LiDAR System factory

The 20th China Optics Valley International Optoelectronic Expo was recently held at the Optics Valley Convention & Exhibition Center in Wuhan.  With the theme “Light Connects Everything, Intelligence Shapes the Future,” the expo highlighted advancements across the entire optoelectronics industry chain—covering laser technology, optics and precision optics, optical communications, 5G industrial internet, and optoelectronic applications. As one of the invited speakers at the Automotive Optoelectronics Forum—part of the “Ultra X Innovation Series”—Prof. Sun Hongxing, Founder and General Manager of Geosun Navigation, shared insights on “Dynamic Spatial Perception for Smart Driving”. Geosun, a nationally recognized high-tech enterprise with fully independent intellectual property, has been pioneering integrated spatial perception solutions for industries such as intelligent vehicles and smart cities. The company leverages core technologies including GNSS, INS, visual localization, LiDAR, and SLAM. During the expo, Geosun presented its self-developed Ground Truth Evaluation System for Autonomous Driving and High-Precision Integrated Navigation System for Vehicles, both of which feature the company’s advanced multi-sensor fusion algorithms refined over two decades in the geospatial field. These systems have been successfully deployed in ground truth collection vehicles and real-scene data acquisition platforms, offering seamless integration of GNSS, IMU, LiDAR, cameras, and odometry. In addition, Geosun introduced a new roadside high-precision data acquisition unit, which fuses LiDAR and camera technologies to support vehicle-to-infrastructure (V2X) collaboration—paving the way for deeper integration of optoelectronic technologies in autonomous driving applications. Geosun’s participation at the expo highlighted the company’s cutting-edge innovations at the intersection of optoelectronics and smart mobility. Looking ahead, Geosun will continue to build upon the thriving Optics Valley ecosystem, strengthening collaborations across academia and industry, and driving scalable applications of high-precision navigation and perception technologies in global intelligent mobility sectors.

  Wuhan Geosun Navigation Technology Co., Ltd. has recently made significant strides in mobile LiDAR scanning technology, earning authoritative recognition from the Evaluation Committee of the Chinese Society for Geodesy and Cartography. The company’s innovation, “Mobile LiDAR Scanning Technology and Its Applications”, has been rated as reaching internationally advanced standards in both theory and equipment, with several core technologies achieving a globally leading position. This breakthrough eliminates dependence on proprietary software and contributes meaningfully to global industrial development and digital infrastructure.   Empowering Intelligent Machines with a "Super Navigator + 3D Scene Painter" Founded in China’s Optics Valley, Geosun is a national high-tech enterprise with full intellectual property ownership. The company focuses on BeiDou-based positioning and navigation technologies, providing advanced spatial awareness and perception solutions for dynamic targets. Led by renowned academician Li Deren and Professor Sun Hongxing from Wuhan University, Geosun is driving the future of autonomous systems with its world-class R&D capabilities. (Image: Sun Hongxing, founder of Geosun and professor at Wuhan University)   On March 24, in Chifeng, Inner Mongolia, a large-scale open-pit coal mine was scanned by an unmanned aerial vehicle (UAV) equipped with Geosun’s latest GS-920X LiDAR system. In just 15 minutes, the UAV completed high-precision 3D real-time modeling over an area of 1 square kilometer—fully autonomously, with no manual intervention. Previously, similar UAV operations without Geosun's technology would have taken nearly three hours and incurred much higher operational costs. (Image: Underground mine tunnel point cloud captured by Geosun handheld LiDAR device)   In a recent interview, Professor Sun explained: “Our LiDAR systems integrate proprietary technologies for dynamic spatial state estimation and environmental perception. By combining satellite navigation (GNSS) with inertial navigation (INS), we deliver absolute positioning and orientation at centimeter-level precision. This, fused with additional sensor data, enables seamless integration of 3D scene modeling and positioning—essential for autonomous drones, vehicles, robots, and XR applications.” He further described the system metaphorically as giving machines a "Super Navigator + 3D Scene Painter": “This 'navigator' can operate globally, even in GPS-denied environments like tunnels or dense urban areas. It leverages GNSS/INS for high-accuracy navigation, uses LiDAR as a flashlight to perceive surroundings in the dark, employs visual sensors to detect obstacles, and continuously updates a real-time 3D map using SLAM modeling.” This innovation effectively addresses key industry challenges, such as: Loss of positioning signals in urban canyons and tunnels for autonomous driving; Temporal and spatial misalignment among sensors; High cost of updating HD maps; Limited obstacle avoidance and navigation in complex or remote terrains for drones and robots; Lack of shared spatial perception in multi-agent collaboration;   A representative from iCom Technology in Guangzhou shared: “Geosun’s handheld and airborne LiDAR scanners are the most efficient we’ve used. They're user-friendly, fast, and reliable. Tasks that once took us three days can now be completed in a single day, significantly reducing time and labor costs. We now use them routinely to measure village buildings, land boundaries, and forest data—including tree canopy and diameter.”   Widely Deployed Across Industries, Proven ROI Geosun’s LiDAR solutions are already deployed in multiple industries including land surveying, autonomous driving, smart cities, utilities, agriculture, forestry, water management, emergency response, smart wearables, and robotics. With deployment in over 70% of Chinese provinces and international markets, the technology has delivered measurable social and economic benefits, saving clients over 100 million RMB in operational costs.   R&D Commitment to Delivering Scalable, Cost-Effective LiDAR + SLAM Solutions Building on its core technologies in mobile LiDAR and spatial perception, Geosun has developed two flagship products: True Value Evaluation System for Autonomous Driving High-Precision Integrated Navigation and Positioning System for Vehicles The company’s proprietary multi-sensor post-processing software—Trajectory Solver—is now recognized as one of the top three such systems globally. These solutions are now in use by leading automotive companies including Changan, Geely, Baidu, Chery, and SANY, supporting the development and training of autonomous driving systems. (Image: High-precision Combined Vehicle Positioning System)   Professor Sun explained: “In autonomous driving development, our system provides both the 'exam' and the 'answer key'. By continuously adjusting parameters and retraining based on real-world data, the system becomes smarter over time. Previously, training required 1 million kilometers of road data collection. Now, with our technology, only 100,000 kilometers are needed—cutting costs and accelerating development cycles.” Geosun has steadily increased its R&D investments: 3 million RMB in 2022 5.6 million RMB in 2023 Over 8 million RMB projected for 2024 (a 43% year-over-year increase) To date, the company has secured 27 invention patents and received several prestigious awards, including the National Satellite Navigation Technology Award and the Hubei Provincial Science and Technology Progress Award.   Driving the Future of Spatial Intelligence Looking ahead, Geosun is actively seeking additional R&D funding to solve new algorithmic and technical challenges across emerging application scenarios. The company has published financing requirements on the Hubei Sci-Tech Innovation Supply Chain Platform, aiming to accelerate growth through optimized resource allocation and expanded R&D collaboration. Industry experts believe that dynamic spatial state and environmental perception technologies will form the foundation of next-generation spatial intelligence, redefining how humans and machines interact with the physical world. Characterized by precision, real-time responsiveness, and autonomy, this emerging platform technology has the potential to create a trillion-dollar global market—comparable in scale and impact to the Internet and artificial intelligence.    

On March 18, the "Intelligent Low-Altitude, Pioneering the Future" product launch event, hosted by the Wuhan Municipal Bureau of Economy and Information Technology, Jiang'an District People's Government, and Wuhan Urban Construction Group, took place at Jianghan Customs Square. As a leader in high-precision BeiDou positioning technology, Wuhan Geosun Navigation Technology Co., Ltd. showcased its cutting-edge innovations and core technologies.   BeiDou Technology Drives Intelligent Low-Altitude Advancements   "The efficient development of the low-altitude economy relies on high-precision spatiotemporal benchmarks. The deep integration of BeiDou with multi-sensor systems is key to overcoming positioning challenges in complex scenarios," emphasized Geosun. Our company’s high-precision GNSS/INS multi-sensor integrated positioning and attitude determination system stole the spotlight. By fusing BeiDou satellite navigation, inertial navigation, visual positioning, and LiDAR data, the system achieves centimeter-level dynamic positioning accuracy, filling a domestic technological gap and breaking foreign monopolies. This breakthrough provides all-weather, all-scenario spatial perception for drones, smart vehicles, and other low-altitude devices, enhancing safety and operational efficiency in autonomous driving, humanoid robotics, and aerial inspections.   Innovative Solutions for Diverse Applications In the exhibition zone, Geosun demonstrated BeiDou-powered smart low-altitude solutions, including a simulated drone swarm performing coordinated tasks in dynamic environments. The real-time display highlighted multi-target trajectory resolution and obstacle avoidance in complex airspace. Its proprietary post-processing software enables real-time big-data analytics, optimizing flight path planning and emergency response for smart city management, natural resource monitoring, and more.   "Our 'BeiDou + Multi-Sensor Perception' technology builds a 'spatiotemporal neural network' for low-altitude autonomous systems, enabling devices to make independent decisions without ground control," explained a company engineer. "This lays the foundation for large-scale commercial applications in the low-altitude economy."   End-to-End Ecosystem Leadership As China’s first high-precision integrated positioning R&D team, Geosun drives innovation through "BeiDou + Low-Altitude" dual engines, offering full-chain advantages from chips and algorithms to terminals and platforms. Its products serve over 100 countries and regions worldwide. "Going forward, we will deepen the integration of BeiDou with low-altitude applications, upgrading spatiotemporal services from static to dynamic, single to multi-dimensional," said a company representative. Geosun plans to collaborate with industry partners to build a low-altitude spatiotemporal data-sharing platform, advancing applications in disaster response, smart transportation, and beyond—propelling Wuhan’s low-altitude economy toward global, intelligent leadership.  

Geo Week is the premier event for increased integration between the built environment, advanced airborne/terrestrial technologies, and commercial 3D technologies. It was created as a response to the changing needs of built world and geospatial professionals, and to acknowledge the convergence of technology taking place currently. New technological innovations, the need for remote workflows, and hardware breakthroughs are redefining expectations across teams, organizations, and entire industries. Geo Week is at the center of it all. Geosun Navigation will participate in this event, the booth No. 1503, with the most cost-effective Aerial LiDAR solution, SLAM Solution. Welcome all friends to pass by our booth.  

In the world of 3D point cloud data processing, two key techniques frequently come up—Point Cloud Classification and Point Cloud Segmentation. While both techniques are integral to understanding and analyzing point cloud data, they serve different purposes and employ different methods. Below, we break down the key differences between these two approaches and explain how they are used to analyze 3D data. Point Cloud Classification Point cloud classification involves assigning a single label to each point in the cloud. This label is meant to categorize the real-world object or feature that the point corresponds to. For example, when processing a point cloud captured by LiDAR or other 3D sensors, individual points might be classified as "ground," "building," "tree," or "car." Classification is generally focused on global features of the point cloud. This means that the algorithm uses the overall characteristics of the points in the cloud (such as their geometric properties, intensity, or color) to determine which category they belong to. The result of classification is that each point will be assigned to one of these pre-defined classes. Key Characteristics of Point Cloud Classification: • Each point is assigned a single class label. • Classifications are typically based on global features of the point cloud. • It provides a high-level categorization of the point cloud data (e.g., ground, vegetation, buildings, etc.). • Commonly used for general-purpose object detection and scene understanding. Point Cloud Segmentation Point cloud segmentation, on the other hand, divides the point cloud into smaller, more manageable parts or segments based on certain shared characteristics or properties. Rather than simply labeling individual points, segmentation aims to group points together that share similar features. The goal is to create regions or clusters within the point cloud, where all points within a given region belong to the same category. Segmentation can be more fine-grained compared to classification. For instance, while classification may simply label a group of points as "car," segmentation can go further by differentiating individual cars in a parking lot. In this way, segmentation can be considered a step beyond classification, as it not only categorizes but also identifies spatial relationships and distinctions between objects. Segmentation relies on both local features of individual points (such as their position, curvature, or color) and the relationships between neighboring points. By analyzing these relationships, the algorithm is able to partition the point cloud into distinct, meaningful segments that can be analyzed separately. Key Characteristics of Point Cloud Segmentation: • Groups points based on shared properties or spatial relationships. • It creates regions within the point cloud where all points in a region are similar. • Segmentation can provide a more detailed, local view of the data compared to classification. • Often used for tasks such as object detection, surface reconstruction, and environment mapping. Key Differences Between Classification and Segmentation   Point Cloud Classification Point Cloud Segmentation Goal Assign a single label to each point. Group points into segments based on shared properties. Output A set of labeled points (one label per point). A set of segmented regions or clusters of points. Focus Global features of points (overall shape, intensity, etc.). Local features and relationships between points. Application General object categorization (ground, building, tree). More detailed analysis (e.g., distinguishing objects within a category). Complexity Simpler—each point receives one label. More complex—groups points into distinct segments. When to Use Classification vs. Segmentation • Point Cloud Classification is ideal when you need to quickly categorize a large point cloud based on broad categories or features. For example, if you are processing a LiDAR scan of a city, classification can help you quickly identify areas of buildings, roads, vegetation, and other landscape features. • Point Cloud Segmentation is more useful when you need detailed analysis of the point cloud, such as detecting specific objects or identifying the boundaries of different parts of a scene. For example, in autonomous vehicle applications, segmentation can help detect and distinguish between pedestrians, vehicles, and road obstacles by grouping points based on proximity and features. Conclusion While Point Cloud Classification and Point Cloud Segmentation are both valuable techniques in the analysis of 3D point cloud data, they differ significantly in their objectives and methods. Classification offers a global categorization of the point cloud, whereas segmentation breaks the data into smaller, more detailed regions based on local properties and relationships between points. Depending on the task at hand, both techniques can complement each other and provide a comprehensive understanding of 3D environments.

When working with Geographic Information Systems (GIS), three essential terms frequently arise: Digital Elevation Models (DEM), Digital Terrain Models (DTM), and Digital Surface Models (DSM). These models form the foundation of elevation data analysis. While they share similarities, each serves a unique purpose. This article will explore their definitions, key differences, and practical applications. What is a DEM? A Digital Elevation Model (DEM) represents the Earth’s bare surface, capturing ground elevation above sea level while excluding features such as buildings, vegetation, and infrastructure. DEMs are often used as a baseline for understanding natural terrain. Key Features of DEMs: • Depicts natural topographic features like hills, valleys, and ridges. • Represents elevation data using color gradients for visualization. • Excludes man-made structures and vegetation, focusing on the bare-earth surface. Applications of DEMs: • Hydrology: Analyzing water flow and accumulation. • Terrain Analysis: Planning infrastructure like roads and tunnels. • Disaster Modeling: Simulating floods, landslides, and avalanches. What is a DTM? A Digital Terrain Model (DTM) builds upon a DEM by incorporating additional terrain details. It includes linear features such as roads, rivers, and ridges that may not be elevated but are vital for detailed analysis. DTMs provide a more comprehensive view of the Earth’s bare surface. Key Features of DTMs: • Adds natural and man-made linear features, such as roads, pipelines, and coastlines. • Highlights terrain discontinuities like breaklines and slope changes. • Focuses on refined topographic details, enhancing bare-earth analysis. Applications of DTMs: • Slope Stability: Evaluating risks for landslides or terrain shifts. • Geological Studies: Mapping terrain changes and natural features. • Infrastructure Development: Designing wind farms, pipelines, and other projects. What is a DSM? A Digital Surface Model (DSM) represents the Earth’s surface and includes all above-ground features, both natural and man-made. This comprehensive model captures buildings, trees, and vegetation in addition to terrain elevation, making it ideal for urban and complex environments. Key Features of DSMs: • Captures the height of surface features such as buildings and vegetation. • Provides a complete representation of the Earth's surface, including terrain and objects. • Offers detailed elevation data for urban environments and landscapes. Applications of DSMs: • Telecommunications: Optimizing radio frequency planning in urban areas. • Urban Planning: Mapping city layouts for infrastructure and smart city initiatives. • Emergency Response: Simulating disaster scenarios in populated areas. • Digital Twins: Creating virtual replicas of cities or landscapes for analysis. DEM vs. DTM vs. DSM: Key Differences   DEM DTM DSM Definition Represents bare-earth elevation Adds terrain details like ridges and break lines Includes all above-ground features Focus Natural terrain Enhanced bare-earth features Complete surface, including structures Applications Hydrology, disaster modeling Geological studies, slope analysis Urban planning, simulations Features Included Bare-earth only Linear and terrain features Buildings, vegetation, terrain Conclusion Understanding DEMs, DTMs, and DSMs is essential for effective GIS analysis. DEMs provide a fundamental view of the Earth’s elevation, DTMs enhance this with detailed terrain features, and DSMs deliver a comprehensive perspective by including all surface elements. Together, these models empower industries to make informed decisions, whether for urban planning, disaster preparedness, or infrastructure development. As GIS technology advances, the roles of DEMs, DTMs, and DSMs will only grow more critical in shaping how we analyze and interact with our environment.

In the rapidly evolving field of LiDAR surveying, two leading techniques for positioning stand out: Simultaneous Localization and Mapping (SLAM) and Global Navigation Satellite System (GNSS). Each method presents unique advantages and is suitable for different surveying applications. In this article, we will delve into the key differences between SLAM and GNSS for LiDAR surveying, examining their benefits, use cases, and the best solutions available. What is SLAM in LiDAR Surveying? SLAM technology enables surveyors to create precise maps while determining their location within a mapped environment. It combines multiple sensors—such as LiDAR, cameras, and inertial measurement units (IMUs)—with sophisticated algorithms to gather data and build detailed maps in real time. As surveyors move through an area, SLAM algorithms continuously update the map, providing accurate localization information. What is GNSS in LiDAR Surveying? GNSS technology provides exact positioning information by utilizing signals from satellite systems like GPS, GLONASS, and Galileo. In LiDAR surveying, GNSS is crucial for determining the absolute position of the LiDAR sensor, ensuring accurate georeferencing of collected data. This capability is essential for precise mapping, absolute positioning, and elevation data. Advantages of SLAM for LiDAR Surveying 1. Real-Time Mapping and Localization SLAM allows for the generation of up-to-date maps while determining precise locations, making it ideal for applications that require immediate data, such as emergency response and dynamic construction sites. 2. Flexibility in Challenging Environments SLAM is particularly effective in indoor surveys and GPS-denied areas, where GNSS signals may be weak. This includes underground mines and dense urban environments. Geosun handheld SLAM LiDAR has proven successful in capturing critical data in such challenging conditions. 3. High Mobility SLAM systems enable on-the-go mapping, allowing surveyors to collect extensive data without extensive setup. This feature is especially advantageous for rapid scanning projects, such as updating building information models (BIM) efficiently. Advantages of GNSS for LiDAR Surveying 1. Accurate Absolute Positioning GNSS-based LiDAR systems feature embedded global coordinate systems, allowing for direct absolute positioning. This simplifies the process of acquiring precise geographic coordinates for LiDAR points, enhancing overall workflow efficiency. 2. Data Repeatability GNSS's accurate positioning enables surveyors to revisit sites easily, facilitating change detection and dataset overlays for periodic surveys. This is particularly beneficial for large-scale infrastructure projects relying on consistent coordinate reference systems. 3. Enhanced Elevation Mapping and Object Detection GNSS LiDAR sensors often support multiple returns, allowing for detailed digital terrain modeling (DTM) and effective vegetation penetration. This capability is invaluable for environmental studies, including coastline monitoring and forest inventory assessments. Conclusion: Choosing Between SLAM and GNSS for LiDAR Mapping Selecting between SLAM and GNSS solutions for LiDAR mapping depends on the specific requirements of your surveying project. For indoor surveys, GPS-denied environments, or rapid mapping, SLAM technology offers significant advantages. Conversely, GNSS-based LiDAR provides accurate absolute positioning and enhanced data repeatability. In many cases, a hybrid approach combining both SLAM and GNSS may yield the best results, allowing surveyors to leverage the strengths of both technologies for comprehensive and accurate surveying outcomes. By understanding the unique strengths and applications of SLAM and GNSS for LiDAR surveying, professionals can make informed decisions about the best technology for their specific needs. Harnessing these advanced surveying approaches will enhance the accuracy and efficiency of your surveying projects.

In the realm of remote sensing, precision and detail matter more than ever before. Industries from agriculture and environmental monitoring to defense and mining are increasingly relying on advanced imaging technologies to gather critical data. Two of the most powerful techniques in this space are Hyperspectral Imaging (HSI) and Multispectral Imaging (MSI). While both are vital for capturing rich visual data beyond the visible spectrum, they differ significantly in their capabilities and applications. So, which one is right for you? What is Multispectral Imaging (MSI)? Multispectral Imaging captures data at specific wavelengths across multiple bands. Typically, it uses 3 to 10 bands, including visible (RGB) and near-infrared (NIR) wavelengths. These bands are broad and are selected to capture key features of the target area, such as vegetation health, water quality, or land cover. Key Applications: Precision Agriculture: Assessing crop health and detecting plant stress. Environmental Monitoring: Analyzing water bodies, vegetation, and land use changes. Surveillance: Border and coast monitoring using UAVs or satellites. Benefits: Cost-Effective: Easier to implement and usually more affordable than hyperspectral systems. Faster Processing: With fewer bands, it requires less data processing time and computational power. Broad Applicability: Ideal for applications requiring general spectral information. What is Hyperspectral Imaging (HSI)? Hyperspectral Imaging, on the other hand, captures data across hundreds of narrow, contiguous spectral bands, providing a detailed, continuous spectrum for each pixel in the image. This allows for the detection of subtle differences in material composition, making it highly precise. Key Applications: Mineral Exploration: Identifying and differentiating mineral compositions and deposits. Defense and Security: Detecting hidden objects or camouflaged targets. Medical Diagnostics: Non-invasive identification of diseases in human tissues. Benefits: High Precision: With detailed spectral data, HSI can distinguish between materials with very similar spectral properties. Enhanced Insights: Ideal for applications that require deep material analysis and identification. Future-Proofing: Hyperspectral data provides a vast amount of information that can be re-analyzed as techniques and algorithms improve. Hyperspectral vs. Multispectral: Key Differences Number of Bands: Multispectral: Uses 3 to 10 broad bands. Hyperspectral: Captures hundreds of narrow, continuous bands. Spectral Resolution: Multispectral: Lower spectral resolution, providing a general overview of a scene. Hyperspectral: High spectral resolution, enabling detailed material identification. Data Volume and Processing: Multispectral: Generates smaller datasets, which are easier to process and analyze. Hyperspectral: Produces large datasets that require significant processing power and time. Cost and Complexity: Multispectral: More affordable and simpler to deploy. Hyperspectral: Higher cost and requires more complex data analysis tools. Which One is Right for You? If your primary focus is broad analysis, such as monitoring vegetation health or land use changes, Multispectral Imaging offers a more practical, cost-effective solution. If your application requires precise material identification, like mineral exploration or advanced environmental assessments, Hyperspectral Imaging is your best bet, offering a deeper level of insight. As the use of remote sensing continues to evolve, both Hyperspectral and Multispectral Imaging will play key roles across industries. Choosing the right one depends on your specific needs, budget, and data requirements. Whichever you choose, the future of imaging is here, offering unprecedented opportunities to see beyond what’s visible to the human eye.

Simultaneous Localization and Mapping (SLAM) is a fundamental technology in autonomous systems, enabling devices to perform real-time mapping while determining their position within an environment. Two prominent SLAM techniques are LiDAR SLAM and Visual SLAM, each utilizing different sensors for building 3D maps. Both technologies offer distinct advantages and limitations, making them suitable for various applications like autonomous vehicles, robotics, and indoor navigation. In this article, we will explore the differences between these two SLAM technologies, their performance, and their use across industries. What is LiDAR SLAM? LiDAR SLAM (Light Detection and Ranging SLAM) utilizes laser sensor technology to generate a highly accurate 3D map of the surrounding environment. By emitting laser pulses and calculating the Time of Flight (ToF), it can measure distances and map complex areas with precision. Advantages of LiDAR SLAM High Precision: LiDAR SLAM excels in environments where precision mapping is critical, such as in autonomous vehicles and outdoor mapping. Robust in Challenging Conditions: LiDAR performs well in adverse conditions like low light, fog, or dust, making it highly adaptable for autonomous systems operating in GPS-denied areas. 3D Mapping Capabilities: Its ability to create detailed 3D point clouds makes LiDAR a top choice for high-resolution mapping. Disadvantages of LiDAR SLAM High Cost: The cost of LiDAR sensors is significantly higher compared to cameras, which limits its adoption in budget-sensitive applications. Narrow Field of View: LiDAR has a limited field of view, reducing its effectiveness in detecting obstacles around corners or over objects. High Processing Demand: LiDAR generates massive amounts of data, requiring powerful hardware and more advanced data processing. What is Visual SLAM? Visual SLAM uses camera sensors and computer vision algorithms to map environments and track a device’s movement in real-time. By identifying and tracking key visual features across multiple frames, Visual SLAM estimates the camera’s movement and builds a 3D map. Advantages of Visual SLAM Cost-Effective: Visual SLAM uses affordable cameras, making it a more cost-effective SLAM solution compared to LiDAR. Wider Field of View: Cameras have a larger field of view, making them ideal for detecting objects in dynamic environments, such as in augmented reality (AR) or virtual reality (VR) applications. Versatility: Visual SLAM is highly adaptable, used in devices ranging from drones to mobile robots, providing flexible solutions for indoor navigation and AR/VR. Disadvantages of Visual SLAM Lighting Sensitivity: Visual SLAM relies on well-lit environments and may struggle in low-light or overly reflective conditions. Lower Precision: When it comes to distance measurement, LiDAR SLAM provides more precise results. Feature-Rich Environments Required: Visual SLAM performs better in environments rich in features (e.g., edges, corners), which can be a challenge in sparse or plain areas. LiDAR SLAM vs. Visual SLAM: A Detailed Comparison 1. Accuracy and Speed LiDAR SLAM: With its laser-based measurements, LiDAR SLAM offers superior accuracy, making it suitable for precision mapping in large, complex environments. Visual SLAM: Although Visual SLAM can capture images faster, its accuracy is generally lower, making it less ideal for applications requiring exact distance measurements. 2. Reliability and Environmental Adaptability LiDAR SLAM: It is more reliable in challenging environments, unaffected by lighting conditions or visual clutter, performing well in low-light conditions or harsh environments like fog and dust. Visual SLAM: While Visual SLAM may struggle in poorly lit areas, it can be more robust in environments with reflective surfaces where LiDAR SLAM could face difficulties. 3. Versatility and Deployment LiDAR SLAM: Commonly used in industries requiring high-resolution 3D mapping, such as autonomous vehicles and large-scale outdoor mapping. Visual SLAM: Its ability to be deployed across a broader range of platforms, from AR/VR devices to mobile robots, makes it versatile and adaptable to many industries, particularly in indoor navigation and AR applications. 4. Cost and Complexity LiDAR SLAM: The high cost of LiDAR systems and their advanced hardware requirements make them suitable for high-budget projects needing maximum accuracy. Visual SLAM: Visual SLAM is cheaper and simpler to implement, making it a popular choice for projects where cost-effectiveness and ease of deployment are priorities. 5. Application Areas Autonomous Driving: LiDAR SLAM is crucial for detecting obstacles and mapping environments in autonomous vehicles. Visual SLAM can complement LiDAR by enhancing situational awareness. Augmented Reality and Virtual Reality: Visual SLAM is integral to AR/VR applications, enabling precise tracking and object placement in real-time. Robotics: Both LiDAR SLAM and Visual SLAM are used in robotics. LiDAR is favored in industrial robots requiring precise navigation, while Visual SLAM is used in drones and smaller robotic systems. Indoor Navigation: Visual SLAM is often employed for indoor navigation due to its affordability and adaptability in visually-rich environments. Conclusion LiDAR SLAM and Visual SLAM each offer distinct strengths, making them suitable for different applications. LiDAR SLAM is ideal for high-precision 3D mapping and navigation in environments with poor lighting or GPS-denied areas, while Visual SLAM is a cost-effective, flexible solution for a wide range of platforms, particularly in AR, VR, and indoor navigation.

Surveyors today face a rapidly changing landscape as advancements in geospatial technology continue to evolve. With an expanding toolbox of tools and techniques, staying current can be a challenge. Let’s take a look at five key trends shaping the future of surveying, transforming how data is captured, processed, and applied across industries. 1. Expanding the Surveyor's Toolkit In recent years, surveyors have moved far beyond traditional methods like hand-drawn maps and rough visual estimates. Today’s technology allows for precise topographical data collection using advanced laser scanners, drones, and GPS-based systems. For example, fixed-wing drones equipped with laser scanners can cover vast areas and collect high-precision data in a fraction of the time it would take using conventional methods. However, even with these tools, surveyors often face the challenge of capturing data in hard-to-reach areas where GPS and Wi-Fi signals are weak or nonexistent. Autonomous drones, equipped with SLAM (Simultaneous Localization and Mapping) technology, provide a solution by mapping environments in real-time without needing external infrastructure. Although SLAM systems may offer slightly less accuracy than tripod-based scanners, they significantly improve the speed and efficiency of data collection, especially in complex environments. This expansion of the surveyor’s toolkit has made the job more flexible, safer, and more efficient, reducing the physical strain on workers and improving workflows. 2. AI and Machine Learning: Driving Smarter Surveying Artificial intelligence (AI) and machine learning (ML) are revolutionizing surveying by enhancing both data collection and processing. Drones powered by AI can autonomously navigate complex terrains, detect obstacles, and adapt to their surroundings. LiDAR-based SLAM systems, for example, use AI to identify features in real-time, allowing surveyors to capture accurate 3D models without constant human oversight. In addition to guiding navigation, machine learning improves the quality of data captured by distinguishing between static objects and temporary disruptions, like dust or debris. This refinement process helps ensure that the 3D models produced are accurate and reliable. Once the drone or robot completes its mission, AI can then focus on enhancing the model for final output, making data processing faster and more accurate. By integrating AI and ML into their workflows, surveyors are gaining new capabilities that streamline operations, increase precision, and reduce human error. 3. Edge Computing: Processing Data On-Site Edge computing, the ability to process data directly in the field, is becoming essential for surveyors, particularly those working in remote or difficult environments. Traditionally, data collected from SLAM systems or other advanced tools would be sent to the cloud for processing, which could lead to delays in analysis. Now, edge computing allows survey teams to process large datasets locally, ensuring that the data is accurate before uploading it for further refinement. This capability is crucial when capturing and processing complex data like 3D models. Surveyors can now assess the quality of their work in real-time, allowing them to make adjustments or corrections while still in the field, saving time and avoiding costly delays. 4. Real-Time Geospatial Data for Emergency Response Surveying tools are increasingly being used for real-time data collection in emergency situations, such as natural disasters or infrastructure failures. Drones equipped with cameras have proven useful in capturing live video of disaster areas, but they often struggle in low-light or poor weather conditions. LiDAR-based SLAM systems offer a more robust alternative. These systems can be mounted on drones or ground-based robots to map complex environments like collapsed buildings or underground mines. In such scenarios, first responders can use 3D models generated by SLAM to plan rescue operations, assess hazards, and locate survivors. Future advancements may allow these models to integrate data from other sensors, such as gas detectors, providing even more comprehensive situational awareness in real-time. 5. Speed vs. Accuracy: Finding the Right Balance For years, surveying has been driven by the pursuit of millimeter-level accuracy, particularly for applications like construction and infrastructure inspection. Traditionally, tripod-based laser scanners were the primary tool for achieving such precise measurements. However, advancements in SLAM technology and photogrammetry have shifted the focus from extreme precision to a balance between speed and accuracy. For many applications, such as mapping a structure slated for demolition, survey teams don’t need millimeter accuracy. A portable SLAM platform can capture a 3D model in minutes, rather than hours or days, providing sufficient detail for planning. This streamlined process reduces downtime and allows projects to move forward more quickly, without sacrificing essential data. Conclusion As surveying technology continues to evolve, the industry is seeing significant improvements in data collection, processing, and application. The combination of AI, edge computing, SLAM, and more flexible tools is driving the industry toward faster, safer, and more efficient workflows. These five trends are not only transforming how surveyors work but also redefining what’s possible in the field of geospatial mapping, offering greater opportunities for innovation across industries.

Simultaneous Localization and Mapping (SLAM) is the crucial technology driving mobile mapping systems, enabling them to function without a stationary tripod. By dynamically tracking the device’s position in real-time, SLAM ensures accurate, high-quality spatial data collection, even in complex and large-scale environments. How SLAM Enhances Mobile Mapping SLAM technology integrates data from multiple onboard sensors in a mobile mapping system, tracking movement while capturing spatial data. Each point along the path acts as a “virtual tripod,” allowing the system to create highly precise 3D maps. During the post-processing stage, the software aligns this data into accurate point clouds, which provide detailed representations of the environment. By removing the need for multiple fixed setups, SLAM allows mobile mapping to collect data continuously, drastically improving the speed and precision of surveying projects. The Evolution of Building Documentation Building documentation has come a long way, from manual methods like theodolites and tape measures to the modern laser scanning solutions we use today. The 1980s brought total stations, offering enhanced precision, while the 2000s introduced terrestrial laser scanners (TLS), which capture millions of data points at once. However, TLS systems require fixed positions, making the process slow and cumbersome. SLAM-based mobile mapping systems, which emerged in 2015, have transformed how we document spaces. They allow operators to capture millions of points while moving, significantly reducing setup times. In addition, these systems often feature integrated RGB cameras that capture 360° photography, providing comprehensive, photorealistic visual documentation. The Key Benefits of SLAM for Mobile Mapping Rapid Data Collection: Traditional TLS workflows require numerous setups in larger projects, slowing progress. In contrast, SLAM-enabled mobile mapping delivers a 10x or greater speed improvement by eliminating these steps and continuously scanning the environment. Simplified Data Registration: TLS systems require aligning scans via overlaps or targets, which can be time-consuming. Mobile mapping devices with SLAM scan continuously—covering up to 3,000 square meters—before the operator needs to restart, reducing the complexity of data registration. Complete Coverage: TLS can only capture data within its direct line of sight, often requiring repositioning to avoid gaps. SLAM technology allows operators to simply walk around obstacles, ensuring comprehensive coverage with no blank spots in the point cloud. Photorealistic 3D Documentation: SLAM-powered mobile mappers integrate LiDAR with RGB cameras, producing dense point clouds and photorealistic 3D models. These intuitive, high-resolution data sets are easy to navigate, even for stakeholders who are not familiar with point cloud technology. Real-Time Feedback: Many advanced mobile mapping systems provide real-time feedback on data quality through a tablet interface. This ensures that operators can instantly detect and correct missed areas during the capture process, improving workflow efficiency. Why SLAM is Essential for Modern Surveying SLAM has revolutionized modern surveying and mapping by dramatically improving workflow speed, accuracy, and coverage. Traditional methods like TLS require multiple setups and manual adjustments, while SLAM-based mobile mapping allows seamless, continuous data collection with minimal downtime. The result is a complete, highly accurate, and visually rich 3D dataset that can be generated in a fraction of the time. In industries such as construction, urban planning, and facility management, where time and precision are critical, SLAM-powered mobile LiDAR systems have become indispensable. The ability to capture detailed 3D maps quickly, even in large and complex environments, makes SLAM technology a cornerstone in the evolution of mapping and building documentation.

[Stuttgart, September 27th] — Geosun Navigation, a leading provider of LiDAR scanning solutions, proudly announces the successful conclusion of its participation at INTERGEO 2024, held from September 24th to 26th in Stuttgart. The event offered Geosun Navigation a valuable platform to showcase its latest innovations and engage with industry leaders, partners, and customers.   Throughout the three-day exhibition, Geosun Navigation’s newly launched GS-130G handheld SLAM LiDAR scanner attracted significant attention. Attendees praised the device for its lightweight design, cutting-edge features, and exceptional precision, making it an ideal solution for surveying and mapping applications. We were thrilled with the enthusiastic response at INTERGEO 2024. The GS-130G and our comprehensive range of LiDAR solutions sparked substantial interest among geospatial professionals seeking to improve project efficiency and enhance data accuracy.   In addition to the GS-130G, Geosun Navigation also showcased its GS-100G, GS-120G, and drone-mounted LiDAR scanners, demonstrating the versatility and power of its product line. Visitors had the opportunity to witness live demonstrations and interact with Geosun’s technical experts to explore how these solutions can streamline workflows and address real-world challenges. We are grateful for the opportunity to connect with so many professionals in the geospatial industry. The feedback we received and the relationships we built will drive our continued innovation as we strive to enhance our products further.   Geosun Navigation remains committed to pushing the boundaries of LiDAR technology, delivering solutions that meet the evolving needs of geospatial data collection and analysis. The company looks forward to collaborating closely with industry partners and customers to shape the future of the surveying industry.

Are you considering investing in mobile mapping technology but don’t know where to begin? You’re in good company—71% of surveying professionals believe that mobile mapping systems are essential for maintaining a competitive edge. To help you make an informed decision, we have answered some of the most common questions and dispelled the myths surrounding this cutting-edge technology. Q: I already use a terrestrial laser scanner. Why should I switch to mobile mapping? While terrestrial laser scanning (TLS) is effective, mobile mapping solutions offer unprecedented advantages in speed and mobility. Here are five reasons why mobile mapping could revolutionize your operations: 1. Maximize Efficiency and Take On More Projects On average, mobile mapping systems like the Geosun GS-100G/120G/130G handheld SLAM LiDAR scanners are 10 times faster than traditional TLS surveying methods. A 500 sqm site that typically takes a surveyor 2 hours to capture with TLS can be completed in just 30 minutes using mobile LiDAR mapping. This efficiency not only saves time but also increases your capacity to handle more projects, enabling you to expand your business. 2. Reduce Disruption for Clients Mobile mapping allows for faster, less intrusive spatial data capture, minimizing disruption on active and sensitive sites like hospitals, production facilities, or construction projects. This is a significant advantage for clients who need to maintain operations while surveys are conducted. 3. Deliver Enhanced Client Solutions Mobile mapping is not just about faster workflows—it’s about providing better deliverables. Platforms like the Geosun Point Cloud Automata create immersive, highly detailed 3D digital twins of real-world environments, enabling your clients to visualize, collaborate, and make decisions faster. This reduces the likelihood of project errors and speeds up the decision-making process. 4. Win More Contracts and Boost Profitability Mobile mapping technology helps you become more competitive in the market by shortening project timelines and optimizing workflows. Whether you decide to improve your profit margins or adjust your pricing to win more business, the efficiency gains from mobile LiDAR can directly impact your bottom line. 5. Future-Proof Your Business Mobile mapping opens the door to new markets and applications that traditional surveying tools can’t handle. By diversifying your services and capabilities, you reduce risk and future-proof your revenue streams, ensuring long-term business growth. 2. Reduce Disruption for Clients Mobile mapping allows for faster, less intrusive spatial data capture, minimizing disruption on active and sensitive sites like hospitals, production facilities, or construction projects. This is a significant advantage for clients who need to maintain operations while surveys are conducted. Q: Is mobile mapping less accurate than other surveying tools? Accuracy is a common concern, but not all mobile mapping systems are created equal. The tool you choose should depend on the Level of detail required for the project. For example, the Geosun GS-100G/120G/130G handheld SLAM LiDAR scanners can deliver up to 1cm range accuracy. If sub-1cm accuracy is necessary, mobile LiDAR systems can be seamlessly integrated into a hybrid workflow, combining the power of mobile mapping with tools like total stations, TLS, or GNSS rovers for enhanced precision. Q: Will my team need extensive training to use mobile mapping technology? Introducing new technology always requires some training, but mobile mapping systems are designed to be user-friendly. Training programs—available both in-person and remotely—are flexible and tailored to the experience level of your team. With the right guidance, your surveyors will be up and running with mobile mapping technology quickly, helping you unlock the full potential of your investment. By embracing mobile mapping, you can elevate your business to new heights—improving efficiency, minimizing client disruption, and providing better deliverables. Whether you're looking to streamline workflows, expand into new markets, or gain a competitive edge, mobile mapping technology offers the versatility and scalability you need to stay ahead in the surveying industry.

As the construction industry continues to embrace digital transformation, the integration of handheld SLAM LiDAR (Simultaneous Localization and Mapping) and Building Information Modeling (BIM) stands out as a powerful tool to boost efficiency and accuracy. Handheld SLAM LiDAR enables real-time data acquisition through rapid and precise spatial scanning, while BIM is responsible for managing and visualizing this data, streamlining construction site management, design, and project maintenance. This article will explore the application of handheld SLAM LiDAR in BIM and how it benefits the construction industry by enhancing digital construction workflows. 1. The Technology Behind Handheld SLAM LiDAR and BIM Handheld SLAM LiDAR is a portable laser scanning device that captures 3D point cloud data using laser beams and calculates the time it takes for the laser to reflect back. By utilizing SLAM algorithms, the device can simultaneously localize itself in space and map the environment. Unlike traditional stationary laser scanners, handheld SLAM LiDAR is lightweight and mobile, making it ideal for construction site scanning, confined spaces, and complex indoor environments. BIM (Building Information Modeling) is a digital process that integrates building geometry, construction data, and project details into a single model. BIM is not only about creating 3D models but also about managing information throughout a building's lifecycle. By combining all building-related information, BIM improves collaborative planning and decision-making across different phases of a construction project. 2. Key Applications of Handheld SLAM LiDAR in BIM The BIM integration with handheld SLAM LiDAR offers numerous practical applications that drive efficiency and accuracy in construction projects. Some key applications include: (1) Construction Site Scanning and Model Creation One of the most critical applications is construction site scanning for generating a 3D point cloud of existing structures or environments. Handheld SLAM LiDAR allows architects and engineers to scan entire sites quickly, collecting highly detailed data. This information is then imported into BIM models, enabling precise design optimization or the creation of as-built models, especially in renovation or expansion projects where original plans may not exist. (2) Construction Progress Monitoring and Quality Control During the construction phase, handheld SLAM LiDAR can be used for construction progress monitoring. Periodically scanning the construction site allows project managers to compare the actual site conditions with the original BIM design. This comparison helps to identify deviations from the planned design and ensures that any misalignments or construction errors are addressed before they escalate, thereby improving quality control and reducing the risk of costly rework. (3) Use in Complex Environments In confined or complex environments like underground spaces or densely built urban areas, GPS-based equipment may not be reliable. Handheld SLAM LiDAR, with its ability to function without GPS, is well-suited to such environments. 3D scanning in these challenging settings produces accurate spatial data that can be incorporated into BIM for more informed decision-making. (4) Maintaining and Updating BIM Models Buildings often undergo renovations or maintenance work throughout their lifecycle. Handheld SLAM LiDAR can be used to rescan structures, capturing updated site data and feeding it into the BIM model. This ensures that the BIM data remains accurate and up-to-date, enabling facility managers to manage building operations more effectively, making it easier to plan for future upgrades or maintenance. 3. The Benefits of Combining Handheld SLAM LiDAR with BIM (1) Increased Efficiency in Data Collection The real-time data acquisition capabilities of handheld SLAM LiDAR significantly speed up the data collection process. Traditional survey methods are time-consuming and labor-intensive, whereas SLAM-based devices enable faster, more accurate results. By importing this data directly into BIM, teams save time on manual input and avoid data conversion issues. (2) Enhanced Accuracy with 3D Point Cloud Data Handheld SLAM LiDAR provides highly detailed 3D point cloud data that reflects the precise conditions of the construction site. BIM integration ensures that this accurate data is available throughout the project lifecycle. This precision is crucial for improving construction planning, reducing the likelihood of design errors, and ensuring that digital construction workflows align with real-world conditions. (3) Cost Savings through Error Reduction and Efficient Monitoring Using handheld SLAM LiDAR for progress monitoring helps project teams catch discrepancies early, reducing the need for rework. Fewer errors mean fewer delays and lower costs. The ability to continuously monitor construction site conditions in real-time ensures that BIM models are always in sync with actual progress, reducing the need for last-minute fixes or adjustments. (4) Improved Collaboration and Information Sharing BIM platforms serve as collaborative tools where all stakeholders can access accurate and up-to-date information. By integrating SLAM LiDAR data into BIM, everyone involved in the project, from architects and engineers to contractors and clients, can make decisions based on the same real-time data. This fosters better collaboration and reduces communication gaps, ultimately enhancing the overall project outcome. 4. Future Prospects for BIM and SLAM LiDAR Integration As technology continues to evolve, the BIM integration with SLAM LiDAR will become even more seamless. Future developments may include automatic synchronization between SLAM devices and BIM platforms, enabling real-time data sharing without manual intervention. Additionally, machine learning algorithms could improve the interpretation of 3D point clouds, making it easier to detect issues or predict outcomes before construction starts. As the complexity and scale of construction projects increase, this integration will be central to managing digital construction projects more efficiently. Conclusion The combination of handheld SLAM LiDAR and BIM is transforming the construction industry by improving how site data is collected, managed, and shared. SLAM LiDAR provides precise, real-time 3D data, while BIM serves as a comprehensive platform for digital construction management. Together, they enhance efficiency, accuracy, and collaboration, leading to better project outcomes. As both technologies continue to advance, their integration will be a driving force behind the future of digital construction.

In the evolving world of surveying and mapping, SLAM (Simultaneous Localization and Mapping) has emerged as a groundbreaking technology. By enabling real-time mapping and localization, SLAM simplifies data collection and enhances the efficiency of surveying tasks. This guide delves into SLAM's core functionalities, its advantages over traditional methods, and its applications across various fields. What Is SLAM? SLAM stands for Simultaneous Localization and Mapping. It is a sophisticated process that computes the position of a device or robot while concurrently building a map of the environment. This technology is essential for mobile mapping, as it allows surveyors to create detailed maps of previously unexplored or complex environments in real time. How Does SLAM Work? SLAM addresses two primary challenges: Localization: Determining the precise location of the device. Mapping: Constructing an accurate representation of the environment. Traditionally, mapping requires a map to estimate location, while accurate positioning is needed to create a map. SLAM resolves this paradox by employing a combination of sensors and algorithms. SLAM devices, alongside inertial measurement units, use visual data or other non-visible data sources to generate an initial positional estimate and a preliminary map. As the device moves, it continuously updates its position and refines the map, creating a detailed and accurate representation of the environment. Benefits of SLAM SLAM offers numerous benefits for surveying and mapping, including: 1. No GPS Requirement: SLAM does not rely on GPS signals, making it invaluable in GPS-denied environments such as underground mines, urban canyons with tall buildings, and dense forests where GPS signals can be obstructed or unreliable. 2. Mobility: SLAM systems are mobile, allowing for on-the-go mapping. This eliminates the need for time-consuming setup and repositioning of traditional equipment like total stations. SLAM enables data capture while moving, whether on foot, by vehicle, or from the sky using drones. This capability significantly accelerates survey times and reduces costs. 3. Versatility: SLAM technology is versatile and available in various formats, accommodating different survey needs. It can be used both indoors and outdoors and in a wide range of environments. Visual SLAM vs. LiDAR SLAM SLAM comes in various forms, with Visual SLAM and LiDAR SLAM being two prominent types. Each has unique characteristics and is suited to different applications. Visual SLAM: Visual SLAM relies on images captured from cameras or visual sensors. It uses these visual inputs to map the environment and determine the device's location. By tracking points of interest in the camera’s field of view, Visual SLAM triangulates the 3D position and constructs a 3D map. This method is particularly useful for applications requiring visual context, such as augmented reality (AR) and autonomous robots. LiDAR SLAM: LiDAR SLAM employs laser sensors to map the environment. LiDAR (Light Detection and Ranging) sends out laser pulses and measures the time it takes for the reflections to return. This data provides precise distance measurements, resulting in high-resolution 2D or 3D point clouds. LiDAR SLAM is renowned for its accuracy and speed, making it ideal for creating detailed maps in various conditions, including underground environments and large-scale outdoor areas. Visual vs. LiDAR SLAM: Which Is Best? Both Visual and LiDAR SLAM technologies have their strengths: LiDAR SLAM excels in creating highly accurate 3D maps and is effective in low-light or complex environments. It is suitable for applications such as underground mining, construction site documentation, and aerial surveys. Visual SLAM is advantageous for applications where visual data is crucial, such as AR or unmanned aerial vehicles (UAVs). It is generally less expensive and more compact than LiDAR systems. Applications of SLAM SLAM's flexibility makes it applicable across various fields: 1. Mining and Quarries: SLAM provides high-accuracy mapping of underground mines and quarries. It helps in detailing inventory, monitoring excavation progress, and ensuring safety. 2. Surveying and Real Estate: SLAM is used for fast scanning to create comprehensive inventories, floor plans, and digital terrain models (DTMs). It facilitates rapid and accurate documentation of properties. 3. Facilities and Asset Management: SLAM assists in condition reporting, modeling, and asset identification. It helps facility managers keep track of asset conditions and perform maintenance efficiently. 4. Architecture, Engineering, and Construction (AEC): SLAM supports Building Information Modeling (BIM), construction site progress monitoring, and documentation of as-built conditions. It aids in accurate modeling and project planning. 5. Conservation: In forestry and historical building preservation, SLAM is used for inventory management, condition assessments, and conservation planning. 6. Security, Public Safety, and Forensics: SLAM enhances emergency response, forensic investigations, and accident reconstruction. It provides detailed layouts of buildings, reducing response times and improving safety for first responders. Conclusion SLAM is a transformative technology for surveying and mapping. Its ability to provide real-time, accurate, and detailed maps without relying on GPS makes it an invaluable tool across various applications. Whether for construction, real estate, mining, or conservation, SLAM offers significant advantages in speed, efficiency, and versatility, revolutionizing how we collect and use spatial data.

Selecting the right handheld LiDAR scanner is crucial for ensuring you get the best performance and value for your specific needs. Whether you're involved in construction, archaeology, environmental monitoring, or another field, understanding how to evaluate and choose the right device can significantly impact your project's success. Here's a comprehensive guide to help you make an informed decision. 1. Define Your Needs Application Area: Identify the primary applications for which you need the LiDAR scanner. Different applications, such as building measurement, indoor modeling, or archaeological research, may have varying requirements for scanner features and precision. Measurement Range and Accuracy: Consider the maximum range and required accuracy of the scanner. High accuracy and extended range often come with a higher price tag, so it’s essential to balance these factors based on your needs. 2. Evaluate Device Performance Laser Scanner Specifications: Review key specifications like measurement distance, point cloud density, and scanning speed. Ensure these parameters align with your project requirements. For example, high point cloud density provides more detailed data but may require more processing power. Real-Time Data Processing: Some handheld LiDAR systems offer real-time data processing, providing immediate feedback. This feature can be particularly valuable for applications requiring instant results. 3. Consider Portability Weight and Size: Choose a device that is manageable for extended use. The scanner’s weight and dimensions should be practical for your intended use, whether in the field or in a controlled environment. Ease of Use: Ensure the scanner is user-friendly. An intuitive interface and straightforward operation are crucial for efficient and effective data collection. 4. Battery Life and Charging Battery Duration: Check the battery life to ensure it can support your work duration. A longer battery life is essential for extended fieldwork. Charging and Replacement: Understand the charging time and ease of battery replacement. Efficient charging and battery management can help minimize downtime. 5. Data Processing and Software Support Data Export and Compatibility: Verify that the scanner supports data formats compatible with your existing processing software. Good software support can streamline data handling and analysis. Data Management: Consider the device’s storage capacity and data management features. Adequate storage is crucial for handling extensive data from longer scanning sessions. 6. Technical Support and Service After-Sales Support: Choose a brand known for good after-sales service and technical support. Investigate warranty policies, repair services, and response times for technical queries. Training and Documentation: Check if the manufacturer provides training and comprehensive user manuals to facilitate smooth operation and troubleshooting. 7. Brand Reputation and User Feedback Brand Credibility: Opt for reputable brands with positive reviews: research user feedback and real-world case studies to gauge the device’s performance and reliability. Recommendations: Seek recommendations from industry experts or colleagues who have experience with handheld LiDAR scanners. 8. Budget and Cost Device Cost: Consider the cost of the scanner within your budget. Higher-performance models often come at a premium, so evaluate whether the features justify the price. Maintenance Costs: Factor in maintenance and operational costs, including calibration and upkeep, which can affect the total cost of ownership. 9. Try Before You Buy On-Site Demos: If possible, arrange for a live demonstration or trial of the device. Hands-on experience can provide valuable insights into the scanner’s usability and performance. Demo Videos and Case Studies: Review manufacturer-provided demo videos and case studies to understand how the scanner performs in real-world scenarios. Conclusion By carefully evaluating these factors, you can select a handheld LiDAR scanner that best fits your needs and budget. A well-chosen device will enhance your data collection processes and contribute to the success of your projects, making it a worthwhile investment for your professional toolkit.

Handheld SLAM (Simultaneous Localization and Mapping) technology has gained increasing attention in recent years. This article explores the advantages and disadvantages of handheld SLAM technology and analyzes whether it could become the next-generation measurement technology. Advantages of Handheld SLAM Flexible Measurement The core advantage of handheld SLAM is its flexibility. The SLAM algorithm enables users to measure while moving, though this does not imply unrestricted movement. Different manufacturers have specific operational rules for their SLAM systems, including walking speed, swing amplitude, special area handling, etc., which require training. Nevertheless, compared to traditional stationary total stations or scanners, handheld SLAM offers greater freedom. Efficient Operational Area Handheld SLAM devices typically operate for 10-60 minutes. Within the constraints of manufacturer-defined operational rules, a single measurement can cover 10,000-60,000 square meters, making handheld SLAM one of the fastest measurement methods, second only to airborne systems. High Point Density Most handheld SLAM devices use laser SLAM technology, specifically 3D laser SLAM. Leading laser brands like HESAI and VELODYNE have point frequencies of 30-64 million points per second, allowing handheld SLAM to achieve point densities comparable to traditional stationary scanners, with ground point densities reaching 5,000-10,000 points per square meter. Omnidirectional, No Blind Spots Handheld SLAM allows for omnidirectional scanning, covering the maximum measurement area. Although measurement angles are limited by the handheld device’s height (usually 1.5-1.8 meters), which may not cover very tall buildings completely, this omnidirectional scanning capability is sufficient for most measurement needs. Rich Raw Data Handheld SLAM provides not only XYZ coordinates but also intensity (Intensity), RGB values, and panoramic images. These data enrich the analysis of ground features, assist in attribute judgment, and help with precision checks. Panoramic images also provide a record of the site environment and feature attributes. Diverse Output The data from handheld SLAM can be processed into various formats, including point clouds, line maps (such as topographic and floor plans), 3D models, quick reality-based 3D models, and more. This capability to generate multiple outputs from a single measurement avoids redundant measurements and improves efficiency. Disadvantages of Handheld SLAM Requires Experience SLAM technology requires a certain level of experience and training to achieve accurate measurements. Inexperienced operators may produce data with reduced precision due to improper operation techniques. While this is a challenge, the issue is expected to improve as the technology matures and becomes more widely adopted. Relatively Average Point Cloud Quality Compared to stationary laser scanners, handheld SLAM's point cloud quality is somewhat inferior. Stationary scanners generally offer higher point density and finer point clouds. Additionally, errors in trajectory calculation during handheld SLAM can affect point cloud data. However, for applications that do not require extremely high precision, the point cloud quality of handheld SLAM is often sufficient. High Cost The cost of handheld SLAM devices may be prohibitive for many measurement companies and organizations. Although price can be a barrier, those who find a suitable application or project can still benefit from the value offered by handheld SLAM. Application Areas Handheld SLAM technology has a broad range of potential applications, including but not limited to the following areas: Mining: Measurement of mineral volumes, open-pit and excavation volumes, and 3D models of mines. Stockpile Measurement: Volume measurement of various stockpiles such as grain, sand, and coal. Facade Measurement: Suitable for simple facade measurements, particularly in urban renewal projects. 3D Modeling and Reconstruction: Generation of 3D/BIM models, digital archiving, and other related tasks. Underground Space Measurement: Creation of floor plans and 3D models for underground spaces. Topographic Map Correction: Useful for correcting small areas of topographic maps. Other Applications: Includes forestry applications, education, cave surveys, construction completion measurements, and progress monitoring. The Prospect of Handheld SLAM In summary, handheld SLAM technology, with its flexibility, efficiency, and diverse output capabilities, shows significant potential to become the next-generation measurement technology. However, challenges related to technology maturity, data precision, and real-time processing need to be addressed. As the technology evolves and application scenarios expand, handheld SLAM is likely to play an important role in the future of measurement.

In the rapidly evolving field of surveying and mapping, LiDAR (Light Detection and Ranging) technology has emerged as a powerful tool for capturing high-resolution spatial data. To effectively utilize LiDAR systems, accurate positioning and mapping are crucial. Two prominent techniques for achieving this are SLAM (Simultaneous Localization and Mapping) and GNSS (Global Navigation Satellite System). Each method has distinct advantages and limitations, making them suitable for different surveying scenarios. This article delves into the comparison between SLAM and GNSS in the context of LiDAR surveying, exploring their operational principles, strengths, and weaknesses.   Understanding SLAM and GNSS   SLAM (Simultaneous Localization and Mapping): SLAM is a technology that enables a device to build or update a map of an unknown environment while simultaneously keeping track of its own location within that environment. It is particularly useful in environments where GNSS signals are weak or unavailable, such as indoors, underground, or in densely built urban areas. SLAM relies on sensors, such as LiDAR, cameras, and IMUs (Inertial Measurement Units), to gather data about the surroundings and estimate the device's position relative to the map being created.   GNSS (Global Navigation Satellite System): GNSS, which includes systems such as GPS, GLONASS, Galileo, and BeiDou, provides global positioning information by using satellite signals. GNSS is widely used in surveying due to its high accuracy and reliability in open outdoor environments. The system works by receiving signals from multiple satellites and using these signals to calculate precise geographic coordinates. GNSS is well-suited for large-scale surveying projects and applications where high positional accuracy is required over extensive areas. Comparing SLAM and GNSS for LiDAR Surveying   1. Accuracy and Precision: SLAM: The accuracy of SLAM is heavily dependent on the quality of the sensors used and the environment in which it operates. In environments with complex structures or where GPS signals are weak, SLAM can offer high precision by integrating data from LiDAR and other sensors. However, SLAM’s performance can degrade in highly dynamic or featureless environments due to challenges in feature extraction and data association. GNSS: GNSS provides high accuracy in open areas with clear visibility to satellites. Modern GNSS systems can achieve centimeter-level precision with the help of correction signals and differential techniques. However, GNSS accuracy can significantly decline in obstructed environments, such as urban canyons or heavily wooded areas, where satellite signals are blocked or reflected.   2. Environmental Suitability: SLAM: One of SLAM’s greatest strengths is its versatility in various environments. It excels in indoor settings, subterranean locations, and densely built urban areas where GNSS signals are unreliable or unavailable. SLAM's ability to operate in environments with limited satellite visibility makes it invaluable for applications like indoor mapping and autonomous navigation.   GNSS: GNSS is ideal for large-scale, outdoor surveying projects where there is an unobstructed view of the sky. It is commonly used in applications such as land surveying, construction, and agriculture. In open spaces, GNSS provides reliable and consistent positional data, making it suitable for extensive area mapping.   3. Real-Time Data Processing: SLAM: SLAM systems often involve complex real-time data processing to construct maps and localize the device simultaneously. This requires significant computational resources and can be affected by the processing speed and algorithm efficiency. Advances in computing power and algorithm design are continually improving SLAM’s real-time capabilities.   GNSS: GNSS data processing is generally straightforward, as it involves interpreting satellite signals to compute position. Real-time GNSS positioning can be highly accurate with the use of real-time kinematic (RTK) or other augmentation techniques. The simplicity and efficiency of GNSS data processing make it well-suited for applications requiring immediate positional information.   4. Integration and Hybrid Approaches: SLAM and GNSS Integration: In practice, SLAM and GNSS are often used in conjunction to leverage the strengths of both technologies. For instance, GNSS can provide initial position estimates and coarse localization, while SLAM can refine these estimates and provide detailed mapping in environments where GNSS signals are weak or intermittent. Hybrid systems can offer a comprehensive solution for diverse surveying scenarios, combining the strengths of each technology. Handheld SLAM LiDAR devices are typically products of SLAM and GNSS integration. They combine SLAM for high-precision mapping and positioning in complex environments with GNSS for accurate location tracking in open areas. This integration leverages the strengths of both technologies for improved overall performance.   GNSS and SLAM Hybrid: Combining GNSS with SLAM can enhance performance in environments where GNSS is partially obstructed but still available. The GNSS system can provide global positioning and initial orientation, while SLAM handles local mapping and localization. This hybrid approach improves overall accuracy and reliability, especially in semi-urban or mixed environments.   Conclusion Both SLAM and GNSS offer valuable capabilities for LiDAR surveying, each with its unique advantages and limitations. SLAM is highly versatile, making it suitable for environments where GNSS signals are not reliable. Its ability to build and update maps in real-time allows for detailed indoor and urban mapping. On the other hand, GNSS excels in providing high-precision global positioning in open outdoor areas, making it ideal for large-scale and straightforward surveying tasks.   The choice between SLAM and GNSS ultimately depends on the specific requirements of the surveying project, including the environment, desired accuracy, and data processing capabilities. In many cases, integrating both technologies can provide a comprehensive and robust solution, offering the benefits of precise global positioning and detailed local mapping. As technology continues to advance, the combination of SLAM and GNSS is likely to become increasingly prevalent, providing surveyors with powerful tools for capturing and analyzing spatial data.

In 3D scanning and spatial data acquisition, LiDAR (Light Detection and Ranging) technology is pivotal for capturing accurate and detailed spatial information. Among the various LiDAR systems available, handheld SLAM LiDAR and terrestrial LiDAR represent two prominent approaches, each with distinct advantages and use cases. This article will explore the differences between handheld SLAM LiDAR and terrestrial LiDAR, highlighting their strengths, limitations, and ideal applications.   Understanding Handheld SLAM LiDAR Handheld SLAM LiDAR systems combine LiDAR technology with SLAM (Simultaneous Localization and Mapping) algorithms in a portable format. These devices are designed to be carried by the user, enabling flexible and dynamic data collection in various environments. Integrating SLAM algorithms allows for real-time 3D mapping and localization, making these systems particularly useful for certain applications. Advantages of Handheld SLAM LiDAR: Portability and Flexibility: The primary advantage of handheld SLAM LiDAR is its mobility. These portable LiDAR scanners allow users to navigate and scan hard-to-reach areas, making them ideal for tasks that require high flexibility. This mobility is particularly beneficial in environments where space constraints or accessibility issues are present.   Real-Time Data Processing: One of the key features of handheld SLAM LiDAR is its ability to process data in real-time. The integration of SLAM algorithms enables the device to update the 3D map as the user moves, providing immediate feedback. This capability is crucial for applications that demand quick adjustments and detailed spatial analysis, such as construction site inspections and indoor mapping.   Ease of Use: Handheld SLAM LiDAR systems are often designed with user-friendly interfaces and automated processes, making them accessible to professionals across various fields. The simplicity of operation allows users to focus on data collection without the need for extensive technical training. Limitations of Handheld SLAM LiDAR: Data Accuracy and Resolution: While handheld SLAM LiDAR offers flexibility, it may not achieve the same level of accuracy and resolution as stationary systems. The quality of the data can be influenced by the user's movement and the environment, potentially affecting the precision of the 3D models.   Battery Life and Processing Power: Portable LiDAR scanners are limited by battery life and processing capabilities. Extended use may require frequent recharging or additional power sources, and the device's processing power might be constrained compared to larger systems.   Environmental Interference: Handheld SLAM LiDAR systems can be affected by environmental factors such as lighting and surface reflectivity. These conditions can impact the effectiveness of SLAM algorithms and the overall quality of the captured data. Exploring Terrestrial LiDAR Terrestrial LiDAR systems involve stationary scanners positioned on the ground to capture high-resolution 3D data. These systems are commonly used for detailed surveying, architectural documentation, and infrastructure inspection. By remaining stationary, terrestrial LiDAR ensures a stable platform for collecting accurate and comprehensive spatial data. Advantages of Terrestrial LiDAR: High Accuracy and Resolution: Terrestrial LiDAR is renowned for its high accuracy and resolution, providing precise measurements and detailed 3D models. This level of detail is essential for tasks that require rigorous standards, such as engineering surveys and detailed architectural documentation.   Stable Data Collection: The stationary nature of terrestrial LiDAR systems ensures consistent and reliable data collection. This stability minimizes errors related to movement and allows for comprehensive data acquisition over time.   Rich Data Output: Terrestrial LiDAR can produce dense point clouds with high point density, resulting in rich and detailed 3D models. This capability is particularly useful for creating accurate digital representations of large or complex structures. Limitations of Terrestrial LiDAR: Lack of Mobility: One of the main limitations of terrestrial LiDAR is its lack of mobility. The system's stationary setup restricts its use to specific locations, which can be a disadvantage in dynamic or expansive environments where movement is needed for data collection.   Time-Consuming Setup: Setting up and calibrating terrestrial LiDAR systems can be time-consuming. Multiple scans from different positions may be required to cover an entire area, which can extend the time needed for data collection.   Environmental Factors: Although stationary, terrestrial LiDAR systems are still subject to environmental conditions such as weather and lighting. These factors can influence the quality of the data and may necessitate additional measures to mitigate their impact. Comparing Handheld SLAM LiDAR and Terrestrial LiDAR When choosing between handheld SLAM LiDAR and terrestrial LiDAR, it's important to consider the specific requirements of your project. Handheld SLAM LiDAR is best suited for environments where mobility and real-time data processing are crucial. Its ability to navigate and map complex or confined spaces makes it ideal for applications such as indoor mapping and dynamic inspections.   In contrast, terrestrial LiDAR excels in providing high-precision and detailed data in stable environments. Its stationary nature and ability to generate high-resolution 3D models make it ideal for tasks that require meticulous accuracy, such as surveying and architectural documentation. Conclusion Both handheld SLAM LiDAR and terrestrial LiDAR offer unique advantages tailored to different applications. By understanding the strengths and limitations of each LiDAR technology, professionals can make informed decisions to select the most suitable solution for their spatial data acquisition needs. Whether you need the flexibility of a portable device or the precision of a stationary system, both technologies play a crucial role in advancing the field of 3D scanning and spatial analysis.

In the ever-evolving field of surveying, professionals have two main types of instruments at their disposal: traditional optical surveying instruments, like Total Stations, and modern satellite-based tools, such as GNSS RTK receivers. Deciding which tool to use can depend on various factors. This blog will explore the key differences between Total Stations and GNSS RTK receivers to help you make an informed choice. 1. Usage Conditions Total Station Light Conditions: A Total Station, an advanced version of theodolites, measures distances, coordinates, and elevations using visible light. Adequate light is essential as the device relies on the human eye to aim at the target. Poor lighting can hinder the accuracy of measurements due to visibility issues. Line of Sight: Total Stations require a clear line of sight between the instrument and the target. Any obstructions can impede both the human operator’s view and the instrument’s ability to collect data, affecting the accuracy and feasibility of the measurement. GNSS RTK Receiver Line of Sight: RTK systems do not require a direct line of sight since they rely on satellite signals. As long as the receiver can connect to satellites, it will function effectively, even in challenging environments where visibility is restricted. Wireless Connectivity: RTK systems use radio signals or network connections for communication. Base and rover stations can connect through an external radio or a SIM card, facilitating wireless data exchange. 2. Measurement Distance Total Station Typically suited for short-range measurements, with a maximum range of about 1.5 kilometers. Without a prism, the range is limited to around 1000 meters. For distant points, multiple setups are necessary, which can be time-consuming and may introduce measurement errors. GNSS RTK Receiver Capable of measuring distances up to around 10 kilometers, with the potential for greater distances depending on the transmitter’s power. RTK systems only require a single setup of the base station for efficient measurement over large areas. 3. Measurement Accuracy Total Station Accuracy Requires multiple setups to complete a task, with each setup potentially introducing measurement errors. Error propagation can lead to significant inaccuracies, especially with numerous relocations. GNSS RTK Accuracy Offers high precision by measuring relative positions between the base and rover stations. Accuracy is typically within 1 cm + 1 ppm of the distance, minimizing error accumulation. This differential measurement approach ensures reliable results with minimal error propagation. 4. Surveyor Requirements Total Station Typically requires three operators: one to observe, one to measure, and one to record data. This can be less efficient and more labor-intensive. GNSS RTK Receiver Requires only two operators: one to manage the base station and one to operate the rover. This reduces manpower requirements and increases efficiency. 5. Layout Efficiency Total Station Layout tasks require communication via walkie-talkie to direct the prism, which can be less efficient and slower. GNSS RTK Receiver Offers greater efficiency by displaying direction, distance differences, azimuth, and elevation changes on a handheld device. This allows for quicker and more accurate layout tasks, often achievable by a single operator. Summary In summary, GNSS RTK receivers provide enhanced convenience and efficiency, often requiring fewer personnel and offering greater measurement range and accuracy for large-scale projects. However, Total Stations are indispensable for high-precision tasks, such as indoor surveys or complex bridge projects. Choosing the right equipment depends on the specific requirements of your project and your operational preferences. With technological advancements, the handheld RTK LiDAR scanner is gaining prominence now. GNSS RTK technology can struggle with accuracy in environments like high-rise buildings, mountains, and canyons. In urban settings, tall buildings often block GNSS signals, leading to decreased positioning accuracy. Handheld RTK LiDAR, however, is not affected by GNSS signal issues and can deliver centimeter-level precision in diverse environments. LiDAR (Light Detection and Ranging) measures distances by emitting lasers and timing their reflections, which makes it unaffected by obstacles like buildings and varying terrain. This results in superior performance in complex environments such as cityscapes, mountains, and canyons. Additionally, LiDAR provides detailed three-dimensional spatial data, which is invaluable for applications needing precise terrain information. Consequently, for high-precision tasks such as urban planning and topographic surveys, handheld RTK LiDAR offers a robust alternative, ensuring more reliable and accurate positioning. Its resistance to GNSS signal interference makes it especially effective in urban environments.

In the world of surveying and mapping, everyone is familiar with LiDAR. But how much do you know about handheld LiDAR? Handheld 3D scanners are gaining traction, expanding LiDAR's use beyond automotive and airborne applications. Their compact size and high performance are transforming 3D environment exploration and digital twins, making handheld LiDAR a "magic tool" of the digital age. Expanding Applications of 3D Scanning Did you know that 3D scanning applications extend far beyond industrial measurement? For example, every underground parking garage requires 3D scanning technology to capture a comprehensive view of the space during construction inspections. Similarly, 3D scanning is essential for determining construction plans and assessing structural materials for towers and building facades. Even in the preservation and restoration of cultural heritage sites, 3D scanning plays a crucial role. The market for 3D scanning equipment is expanding rapidly due to the diverse range of applications. The swift growth of handheld 3D scanning devices is largely driven by their expanding use cases, which highlight the limitations of traditional stationary scanners that require frequent repositioning. Although vehicle-mounted and backpack-mounted devices offer some mobility, they still struggle to access tight, crowded, underground, or pipeline environments and are often quite expensive. In scenarios such as underground space scanning, forestry surveys, landscape mapping, and outdoor modeling and measurement, handheld 3D scanning devices are increasingly popular. This trend is not only influenced by the general move towards portable equipment but fundamentally stems from the fact that handheld 3D scanners are truly unrestricted by location. They can enter nearly all types of work areas, meeting the most basic and crucial need: usability. Types of Handheld 3D Scanners The growing applications for handheld 3D scanners have boosted their market potential. As interest grows, businesses and users are asking: what makes the best handheld 3D scanner? There are two main types available: handheld structured light scanners and handheld LiDAR scanners. Structured Light 3D Scanner Structured light 3D scanners project a pattern onto the object using a stable light source and calculate the distance of each point in the field of view based on the pattern's distortion. The advantages of this method include fast scanning speed, large scanning area, and high precision. However, due to its reliance on light as the scanning medium, structured light scanners are highly sensitive to lighting conditions, making them less suitable for outdoor environments during the day. Handheld LiDAR Scanner In contrast, LiDAR operates by emitting and receiving high-frequency laser pulses, using the collected point cloud data to create 3D models and obtain information about the object's position and contours. LiDAR’s advantage lies in its minimal sensitivity to external lighting conditions, allowing it to perform well in various environmental settings while maintaining superior speed, area coverage, and precision compared to structured light scanners. For a long time, LiDAR has held an irreplaceable role in surveying, navigation, and other fields. With its exceptional detection capabilities, LiDAR continues to expand its integration across various industries. The advent of portable handheld LiDAR has addressed the "last mile problem," significantly broadening its range of applications. However, handheld LiDAR is not a conceptually new product. While these devices appeared on the market years ago, they, like other LiDAR products, traditionally faced trade-offs between size, performance, and cost, often excelling in only two of these areas. Recent technological advancements and increased demand have helped to share the development costs of precision optical components in LiDAR systems. This progress has led to slimmer, more affordable LiDAR devices, and handheld LiDAR products have benefited from these overall innovations, leading to broader market applications. Case Study: Geosun Navigation's GS-100G Handheld LiDAR Scanner As more players enter the field, including not only industrial vision equipment manufacturers but also established LiDAR specialists like Geosun Navigation—known for their extensive experience in airborne and vehicular LiDAR—the market for handheld LiDAR has become a distinct and competitive segment. With superior performance and a compact design, handheld LiDAR is revolutionizing the exploration of real-world 3D environments and digital twins, emerging as the "magic tool" of the digital age. Take the GS-100G handheld 3D LiDAR scanner released by Geosun Navigation as an example: A Heritage of Excellence: Geosun Navigation is a pioneer in LiDAR development, with extensive experience in navigation and surveying LiDAR systems. They have built a reputation for high-performance, quality LiDAR products and possess rich expertise in LiDAR research and development. Exceptional Performance: The GS-100G, developed independently by Geosun Navigation, showcases their profound expertise in the field. With a scanning speed of 320,000 points per second and a 360° full-view field, the GS-100G can complete data collection and processing for a 5,000m² area in under 10 minutes. With a range of 120m and centimeter-level data accuracy, the GS-100G excels in capturing extensive, high-precision, and high-density 3D spatial information. It effectively meets the scanning and mapping needs for underground spaces, forestry surveys, landscape mapping, and outdoor modeling. Durable and Reliable: The GS-100G features IP54 dust and water resistance, allowing it to operate in special environments like light rain, fog, and coastal areas. Even without GPS signals, its advanced high-precision SLAM algorithm ensures accurate point cloud matching and successful operations. Looking Ahead: The Future of Handheld LiDAR In today's rich landscape of real-world 3D digital twin scenarios, the future of handheld LiDAR is poised for explosive growth, similar to the past surge seen in vehicular LiDAR and airborne LiDAR markets. While its market size may not yet rival these “predecessor” fields in the short term, the ongoing wave of digital transformation is expected to lead to boundless expansion in the applications of handheld LiDAR, with a bright future ahead.

Simultaneous Localization and Mapping (SLAM) technology has emerged as a transformative force in the realm of LiDAR scanning, significantly influencing the accuracy and precision of data collection processes. By seamlessly integrating sensor data and advanced algorithms, SLAM plays a pivotal role in enhancing the reliability and efficiency of LiDAR scanning systems. Let's delve deeper into how SLAM technology affects the accuracy of LiDAR scanning and the key mechanisms at play. Handheld SLAM LiDAR What is SLAM? Simultaneous Localization and Mapping (SLAM) is a sophisticated algorithm that integrates data from the onboard sensors of your mapping system, including LiDAR, RGB cameras, IMUs, and more, to determine your trajectory as you navigate through an environment.   Here's a simplified breakdown of how SLAM operates: Upon system initialization, the algorithm leverages sensor data and computer vision technology to analyze the surroundings and accurately estimate your current position.   As you progress, SLAM utilizes the initial position estimate, gathers new data from the system's sensors, compares it with previous observations, and recalculates your position in real time.   By iteratively executing these steps, the SLAM system continuously tracks your movement throughout the environment with precision. A SLAM algorithm executes these intricate calculations numerous times per second, effectively automating the process of mapping your trajectory as you traverse through the space.   How does SLAM affect scanning Accuracy? Understanding the precision of a SLAM device necessitates grasping a fundamental contrast in data acquisition methods employed by mapping systems.   In a terrestrial laser scanner (TLS), the device captures its environment by rotating a laser sensor 360° and registering measurements from a fixed position. Consequently, each point in the captured point cloud is inherently aligned accurately in space relative to the scanner.   Conversely, a mobile mapping system also rotates a laser sensor 360° but not from a fixed point. As you move through the environment during scanning, the sensor moves along with you, introducing alignment discrepancies for each measurement and compromising the final point cloud's accuracy.   This scenario is akin to the effect of camera movement when taking a night photograph, resulting in blurriness. Similarly, inspecting the unprocessed data from a mobile mapping system before SLAM algorithm refinement reveals scattered and duplicated points, indicating alignment issues.   A mobile mapping system is engineered to rectify these alignment errors and generate a precise, orderly point cloud. It achieves this by leveraging the trajectory data recorded by the SLAM algorithm. This information enables the system to ascertain the scanner's position at the moment of each measurement, facilitating accurate spatial alignment of the points.   Consequently, the accuracy of a mobile mapping system powered by SLAM hinges not only on the sensor's precision but also significantly on the efficacy of the SLAM algorithm in tracking your trajectory. SLAM Accuracy Challenges Developing SLAM algorithms that accurately track trajectories and generate high-quality point clouds posed a significant challenge for manufacturers, who had to address two main types of errors.   SLAM Tracking Issues The first type of error, known as tracking error, arises when SLAM algorithms encounter difficulties in certain environments. For example, in long hallways where distinctive environmental features are scarce, SLAM systems may struggle to maintain accurate location tracking.   In more demanding environments, SLAM systems can experience breakdowns. This occurs when mapping inaccuracies occur during scanning, often due to a lack of distinctive features in the environment or high levels of noise. In such cases, utilizing control points does not effectively resolve the issue.   While some instances of SLAM breakdown can be rectified during post-processing, extreme cases may remain uncorrectable. In these scenarios, the absence of data on how to distribute differences in distances between control point coordinates and scanned control point coordinates inhibits the correction of trajectory breakdowns.   SLAM Drift Errors The second type of error, referred to as drift, stems from the inherent measurement errors produced by sensors used in SLAM algorithms to calculate positions. As SLAM algorithms iteratively calculate positions based on previous data points, sensor errors accumulate during scanning, leading to trajectory inaccuracies and a decline in the final results' quality.   Drifting SLAM errors are more prevalent in outdoor settings due to the larger spatial area, contrasting with indoor environments. Drift results in scans that are matched correctly to the map but exhibit distortions due to sensor imperfections, causing errors to accumulate over time. Employing surveyed control points during post-processing typically helps rectify datasets affected by drift.

For some people, the datasheet of a LiDAR scanner can be quite complex. Today, we will introduce you to some common terms found in the specifications sheet, unveiling the mystery behind the LiDAR scanner. We will explain the obscure and difficult-to-understand terms, their meanings, and why they are important. Laser Class The "Laser Class" of a LiDAR scanner refers to the classification of the laser used in the scanner, indicating how hazardous the beam is to the human eye or skin. The classification system ranges from Class 1 (safe under all conditions of normal use) to Class 4 (may pose a hazard to the eyes or skin). Virtually all LiDAR scanners use Class 1 lasers, which is the safest class. That means the scanner is completely harmless, to the point where you (or a passerby) can look directly at it without any eye protection and experience no negative effects. When evaluating a LiDAR scanner, understanding the Laser Class is crucial for ensuring compliance with safety standards and regulations, as well as implementing the necessary safety protocols during operation to protect users from potential laser hazards. Laser Wavelength The "Laser Wavelength" of a LiDAR scanner refers to the specific wavelength of the laser beam emitted by the scanner for data collection. Common laser wavelengths used in LiDAR systems include near-infrared wavelengths such as 905 nm and 1550 nm, which are often chosen for their ability to penetrate vegetation and provide accurate distance measurements. The choice of wavelength has a big effect on the performance of the laser. A 1550 nm laser is more likely to be absorbed by water in the environment, like fog, rain, or even humidity in the air. To counteract this problem, the laser would need to use more power — meaning shorter battery life. A 905 nm laser won’t lose performance in these conditions and is much simpler to manufacture. Laser Line Number The term "Laser Line Number" in the context of a LiDAR scanner typically refers to the number of individual laser beams or lines emitted by the scanner to collect data. Each laser line contributes to the generation of a point cloud by measuring distance and capturing spatial information. A higher laser line number usually results in denser point clouds, allowing for more detailed and accurate 3D representations of the scanned environment. This can lead to improved resolution and better coverage of the scanned area. Points Per Second "Points Per Second" in the context of a LiDAR scanner refers to the number of individual data points that the scanner can capture and process in one second. This metric is a crucial indicator of the scanning speed and data acquisition capability of the LiDAR system. A higher Points Per Second value signifies that the LiDAR scanner is capable of capturing a larger amount of data points within a given time frame. This parameter is essential for applications that require rapid data collection, such as airborne LiDAR mapping or scanning moving objects. But remember that a higher number of points per second is not always better. Once you have enough points in the cloud for your intended application, capturing more points makes your point cloud bigger and heavier to process. The Points Per Second metric is influenced by various factors including the scanning mechanism, laser pulse rate, field of view, and scanning range of the LiDAR scanner. Understanding this specification helps in assessing the efficiency and performance of a LiDAR system for specific data acquisition tasks and applications. Range The "range" of a LiDAR scanner refers to the maximum distance over which the scanner can detect and measure objects. On the surface, it is simple: Range indicates the distance your scanner can be from an object and still return usable results. But don’t assume that this number indicates the distance a laser scanner can capture and still hit the accuracy levels marked on the spec sheet. Rigorous testing (and field experience) will show that a laser scanner’s accuracy decreases as it moves farther from the object. On top of that, there are a huge number of other factors that can affect the accuracy of a LiDAR sensor, even at a constant range. The range of a LiDAR scanner can vary significantly depending on the specific model and design. Some LiDAR scanners are optimized for short-range applications, such as indoor mapping or object detection, with ranges typically up to a few hundred meters. On the other hand, long-range LiDAR scanners are designed for applications like aerial mapping, autonomous driving, or topographic surveys, with ranges that can extend to several kilometers. FOV The "FOV" of a LiDAR (Light Detection and Ranging) scanner refers to the Field of View of the scanner. It represents the angular extent of the environment that the scanner can "see" or capture data from at any given point in time. The FOV of a LiDAR scanner is typically described in terms of horizontal and vertical angles. The horizontal FOV indicates the extent of the scanning range in the horizontal plane, while the vertical FOV represents the coverage in the vertical plane. A wider FOV allows the LiDAR scanner to capture data from a broader area in a single scan, while a narrower FOV focuses on a smaller, more detailed area. The FOV of a LiDAR scanner influences the scanning efficiency, coverage, and resolution of the collected data. Relative Accuracy The "Relative accuracy" of a LiDAR scanner refers to the precision and consistency of the measurements taken by the scanner within a dataset relative to each other. It describes how closely data points are positioned in relation to one another in the collected point cloud data. Relative accuracy is a crucial metric in LiDAR scanning as it measures the internal consistency of the data points and their spatial relationships. Higher relative accuracy indicates that the data points are closely aligned and consistent with each other, leading to a more reliable and accurate representation of the scanned environment. Understanding the relative accuracy of a LiDAR scanner is important for assessing the quality and reliability of the collected data, especially in applications where precise spatial information is critical, such as topographic mapping, infrastructure monitoring, and urban planning. The accuracy of a point cloud on a local scale. For a mobile scanner, this is the accuracy of measurement between points in a single location like a room. Absolute Accuracy The accuracy of the point cloud on a global scale. It describes how accurately the collected data points correspond to their real-world positions. Absolute accuracy is a fundamental metric in LiDAR scanning as it assesses the alignment of the scanned data with external reference points or coordinates, such as GPS data or control points on the ground. High absolute accuracy indicates that the LiDAR scanner can accurately determine the real-world positions of objects and features in the scanned area. Understanding the absolute accuracy of a LiDAR scanner is crucial for applications that require precise geospatial information, such as land surveying, infrastructure inspection, and urban planning, where accurate spatial positioning is essential for making informed decisions.

We are thrilled to announce that as a passionate LiDAR solution exhibitor, we are offering our valued customers the opportunity to obtain free tickets to INTERGEO 2024, the world's premier geospatial exhibition. By securing your free ticket to the event, you will gain access to an unparalleled opportunity to explore groundbreaking advancements in the geospatial industry.   INTERGEO 2024 is set to take place in Stuttgart from September 24th to 26th, 2024. This exhibition is a global platform for showcasing the latest technologies and innovative solutions in geospatial information systems.   During INTERGEO 2024, we will showcase our cutting-edge LiDAR solutions, revolutionizing how professionals capture and analyze spatial data. Our state-of-the-art technology empowers industries such as surveying, mapping, construction, and environmental monitoring to achieve unprecedented precision and efficiency.   Attending INTERGEO 2024 will provide you with a unique chance to immerse yourself in the latest trends, network with industry experts, and discover the limitless possibilities of geospatial innovation. Engage with fellow professionals, gain insights into best practices, and stay ahead of the curve in this rapidly evolving field.   To secure your free ticket to INTERGEO 2024, please contact us through the following Email or Whatsapp number and receive your complimentary ticket. Please note that the number of tickets is limited, so act swiftly to secure your spot at this must-attend event.   For a free ticket, please contact: Mr. Lanbooxie Email: sales@geosunlidar.com WhatsApp: +8615527360208

Market.us, a market research company, has released a report titled “Global LiDAR Market Segmentation by Product Type, Component, Application, End-User, Region, and Company: Industry Outlook, Market Assessment, Competitive Landscape, Trends, and Forecasts for 2023-2032”. According to the report, it is projected that the global LiDAR market will reach a total value of $2.3 billion by 2024. Over the forecast period of 2023-2032, the overall demand for LiDAR is expected to grow at a compound annual growth rate (CAGR) of 22.5%. Consequently, by the year 2032, the market is estimated to reach a total valuation of $11.6 billion.   LiDAR, short for Light Detection and Ranging, is a remote sensing technology that measures distances by emitting laser beams towards targets and analyzing the reflected light. Due to its precision and versatility, this technology has become increasingly important across various industries. The LiDAR industry has experienced significant growth, driven by advancements in fields such as autonomous driving, geospatial mapping, environmental monitoring, and urban planning. Factors that Impact the Expansion of the LiDAR Market   Technological Advancement The continuous development of LiDAR technology signifies improvements in range, accuracy, and resolution, which have had a significant impact on market growth. Innovations in solid-state LiDAR and the miniaturization of LiDAR systems have enhanced their applicability across various industries.   The Growing Demand for 3D Imaging and Modeling The demand for accurate and detailed 3D imaging and modeling is steadily increasing across industries, driving the need for LiDAR technology. Industries such as architecture, infrastructure development, forestry, agriculture, and urban planning require precise 3D data for accurate measurements, planning, and decision-making. LiDAR enables rapid and effective capture of high-resolution 3D information, making it the preferred technology in these application areas.   The Emergence of Autonomous Vehicles and ADAS The rise of autonomous vehicles and Advanced Driver Assistance Systems (ADAS) in the automotive industry is a significant driver for the growth of the LiDAR market. LiDAR technology plays a crucial role in enabling accurate perception of the surrounding environment and ensuring safe and reliable navigation for autonomous vehicles. As autonomous driving technology continues to advance and vehicle safety regulations become increasingly stringent, the demand for LiDAR sensors in the automotive industry is expected to increase.   Government Support for LiDAR Technology Government initiatives and support play a crucial role in driving the adoption and growth of LiDAR technology. Governments worldwide have recognized the potential benefits of LiDAR in various application areas and have implemented policies, funding programs, and regulations to promote its use.   Decreased Cost of LiDAR The initial high costs associated with LiDAR technology posed a barrier to its widespread adoption and limited its applications to specific industries. However, significant advancements in technology and manufacturing processes have resulted in a reduction in the cost of LiDAR systems. This decrease in cost has played a crucial role in expanding the scope of LiDAR applications across various industries.   Segmentation of the Global LiDAR Market Report   Product Type Analysis In 2023, the airborne segment dominated the LiDAR market, holding a significant share. The strength of this segment can be attributed to its wide-ranging applications in terrain mapping, disaster management, and forestry management. Airborne LiDAR is renowned for its efficient large-area coverage capability and its ability to provide high-resolution 3D data, making it an indispensable technology in precision forestry and environmental monitoring. The ability to capture fine details from considerable heights is crucial in climate change research and coastal zone mapping.   Component Analysis In 2023, the laser scanner segment dominated the LiDAR market, holding a significant share. This trend can be attributed to several key factors. Laser scanners are the core components of LiDAR systems and play a crucial role in accurately capturing physical world data in the form of 3D point clouds. The prominence of this segment stems from the widespread applications of laser scanners across various industries, including autonomous vehicles, geospatial measurement, and construction. The growth of the laser scanner segment is largely attributed to technological advancements that have significantly improved the accuracy, range, and speed of laser scanners. For example, the development of solid-state laser scanners has brought revolutionary changes to the market by providing compact, lightweight, and energy-efficient solutions. These advancements have expanded the applicability of laser scanners, especially in industries that require high precision and resolution, such as aerospace and defense.   Application Analysis In 2023, the corridor mapping segment held a dominant position in the LiDAR market, capturing a significant share due to several key factors. Corridor mapping is primarily used in transportation and urban planning, benefiting from the increasing global emphasis on infrastructure development. The growth of this segment can be attributed to its crucial role in generating accurate, high-resolution maps necessary for the planning and maintenance of highways, railways, and utility networks. Integrated LiDAR technology in corridor mapping provides unparalleled precision in terrain and feature mapping, enabling efficient project execution and risk management.   End-User Analysis In 2023, the automotive segment held a dominant position in the LiDAR market, capturing a significant market share. This dominance can be attributed primarily to the continuous advancements in LiDAR integration within Advanced Driver Assistance Systems (ADAS) and the rapid development of autonomous vehicles. Automotive manufacturers are increasingly relying on LiDAR technology for precise environmental mapping and obstacle detection, which are crucial for the safety and efficiency of autonomous driving. The automotive industry's market share in the LiDAR industry is strengthened by significant investments from leading automotive and technology companies, demonstrating a steadfast commitment to developing autonomous driving technologies.   Conclusion The global LiDAR market is projected to experience significant growth during the forecast period of 2023-2032, with a compound annual growth rate of 22.5%. The market is expected to reach a total valuation of $11.6 billion by 2032. This growth is driven by the key applications of LiDAR technology in areas such as autonomous vehicles, geospatial mapping, environmental monitoring, and urban planning, along with technological advancements. The precision and versatility of LiDAR make it indispensable in these fields, driving substantial market growth. The North American market is expected to maintain its leading position, while the Asia-Pacific region is projected to experience rapid growth, reflecting the widespread recognition and application of LiDAR technology globally. The continuous innovation and investment by major market players indicate that LiDAR technology will remain a key driving force for future technological advancements and applications. The rapid growth of the global LiDAR market and its critical applications in multiple fields demonstrate its core position in modern technology and industrial progress. With further technological advancements and cost reductions, LiDAR is expected to find new applications in more areas, further propelling market growth.

Today, both LiDAR and Photogrammetry applications are rapidly evolving in the field of drone mapping. With the gradual decrease in drone prices, people can use drone surveying techniques for quick assessments of land and infrastructure. Currently, when it comes to drone mapping tasks, the choice between LiDAR and Photogrammetry imaging largely depends on the specific application at hand, as well as operational factors such as cost and complexity. In this article, we will explore the differences between LiDAR and Photogrammetry technology. What's LiDAR and How Does It Work? LiDAR stands for "Light Detection and Ranging," and this technology has been around for decades but has recently become available in sizes and power suitable for large drones. A LiDAR sensor emits laser pulses and measures the exact time it takes for these pulses to return after bouncing off the ground, as well as the intensity of the reflections. The sensor itself is just a part of the LiDAR system, and it is crucial to have a high-precision Global Navigation Satellite System (GNSS) and an Inertial Measurement Unit (IMU) to determine the sensor's orientation in space. All these high-end subsystems must work in perfect coordination to process the raw data into usable information, a process known as direct georeferencing. What's Photogrammetry and How Does It Work? Photogrammetry is a technique that uses images of objects to reconstruct their spatial positions and three-dimensional shapes. In photogrammetry, a drone captures a large number of high-resolution photos in an area, and these images overlap, allowing the same point on the ground to be seen from different advantageous positions and across multiple photos. Similar to how the human brain uses information from two eyes to provide depth perception, photogrammetry utilizes these multiple advantageous positions in the images to generate a 3D map. Therefore, high-resolution 3D reconstruction includes not only elevation/height information but also the texture, shape, and color of each point on the map, making it easier to interpret the generated 3D point cloud. LiDAR vs Photogrammetry, What’s the Difference?   Principle LiDAR: LiDAR technology relies on the emission and detection of laser pulses to measure the distance between the sensor and objects in its vicinity. By analyzing the time it takes for the laser pulses to return after bouncing off the target, LiDAR calculates precise distances and creates a point cloud representation of the environment. Photogrammetry: Photogrammetry, on the other hand, utilizes overlapping images captured from different angles to extract 3D information. By analyzing the parallax effect, which is the apparent shift of objects due to the change in perspective between images, photogrammetry algorithms reconstruct the 3D geometry of the scene. Data Collection LiDAR: LiDAR systems emit laser pulses in a scanning pattern, capturing a large number of points per second across a wide field of view. This enables LiDAR to provide dense and accurate point clouds, even in complex environments such as dense vegetation or urban areas. Photogrammetry: Photogrammetry relies on capturing a series of high-resolution images using cameras mounted on drones, aircraft, or ground-based platforms. These images need to have significant overlap to ensure accurate reconstruction. The quality of the photogrammetric output depends on image resolution, overlap, and the availability of distinct features for matching. Accuracy and Resolution LiDAR: LiDAR systems are known for their high accuracy in measuring distances, typically achieving sub-centimeter precision. LiDAR also provides consistent accuracy across different ranges, making it suitable for applications that require precise measurements. Photogrammetry: The accuracy of photogrammetry is influenced by various factors, including image quality, camera calibration, GPS accuracy, and the presence of occlusions. While photogrammetry can achieve high accuracy, it is generally considered to have lower accuracy compared to LiDAR. However, advancements in camera technology and image processing algorithms have significantly improved photogrammetric accuracy in recent years. Data Density and Coverage LiDAR: LiDAR sensors generate dense point clouds with a high point density, providing detailed information about the captured environment. This makes LiDAR ideal for applications such as terrain modeling, forest inventory, and infrastructure monitoring. Photogrammetry: The point density in photogrammetry depends on the resolution of the captured images and the distance to the objects. While photogrammetry can produce accurate results, it typically has a lower point density compared to LiDAR. However, photogrammetry excels in providing high-resolution textures and colors, making it suitable for visual applications like virtual reality, visual effects, and architectural visualization. Applications LiDAR: Due to its accurate distance measurements and ability to penetrate vegetation, LiDAR is extensively used in applications such as topographic mapping, flood modeling, autonomous driving, and precision agriculture. LiDAR also finds applications in creating digital elevation models (DEMs), analyzing urban environments, and archaeological site mapping. Photogrammetry: Photogrammetry has a wide range of applications, including 3D mapping of cultural heritage sites, environmental monitoring, construction site documentation, and landscape modeling. It is also widely used in industries like architecture, film production, gaming, and virtual reality for creating realistic 3D models and visualizations.

Nowadays, there are many Handheld SLAM LiDAR Scanner products available in the market. But what is SLAM? What is its purpose? And how can one choose a suitable Handheld SLAM LiDAR Scanner product? This article will provide you with the answers. What is SLAM? SLAM stands for Simultaneous Localization and Mapping. It consists of three key elements: simultaneous, localization, and mapping.   Localization Localization is the process of determining the position of a device within a given map. Like GPS or total station positioning, SLAM localization measures the distance and angle between device J and known reference points (A, B, C) to calculate the robot's position. Certainly, the simplified explanation of localization mentioned above does not cover an important aspect, which is the orientation or attitude (Roll, Pitch, Heading) of the device. The acquisition of these three values involves the transformation of coordinates between the sensor coordinate system and the map coordinate system, which can be understood as the rotational angles in the seven-parameter transformation.   Mapping Once the positions and orientations (J1-J3 in the diagram below) of different locations are known, we can use a LiDAR scanner to scan the objects and obtain map data. This process is somewhat similar to the workflow of oblique photogrammetry, where accurate positions and orientations of photographs are determined (referred to as "space intersection"), followed by the three-dimensional reconstruction of objects. Simultaneous Now you might wonder whether the map comes first or later. If the map comes first, we can scan the scene with known positions and orientations. But if we already have a map, why do the scanning? Furthermore, If we have a map, we can obtain our position and orientation, allowing us to scan the scene. However, the question arises: where does the initial localization come from? In outdoor environments, we can rely on GPS and IMU for localization. But in areas like underground corridors where GPS signals are unavailable, we need map data. Therefore, the above question is similar to the "chicken and egg problem".   This is where SLAM's "simultaneous" aspect comes into play. In simple terms, we can perform localization and map construction simultaneously. For example, imagine you want to explore a shopping mall in an unfamiliar place. First, you take a taxi to the mall's entrance and take a photo as a reference point. After having a preliminary understanding of the entrance and its surroundings, you enter the mall and go through the health registration process. As you explore each store, you establish connections between adjacent stores, noting their distances, spatial relationships, and your current location. By visiting all the stores sequentially, you gradually develop a holistic understanding of the mall's layout. In summary, SLAM allows us to perform localization and map construction simultaneously. This is particularly useful in scenarios where initial localization is challenging or when GPS signals are unavailable, enabling us to explore and map unknown environments. Applications of the Handheld SLAM LiDAR Scanner When considering a new device, it's important to understand its applications and potential uses. Here are three main application areas for handheld SLAM LiDAR scanners:   Mine Surveying Handheld SLAM devices are well-suited for mine exploration due to the following reasons: Due to the absence of GPS signals in mines, it is challenging to use RTK measurements. Poor lighting conditions that may affect other measurement methods like total stations. Narrow and complex mine passages, which make traditional total station measurements inefficient.   Given these challenges, handheld SLAM LiDAR scanners are particularly suitable for mines and geological caves, as they can perform simultaneous mapping while navigating without relying on GPS signals and are not affected by lighting conditions. The deliverables for mining applications using handheld SLAM devices include mine floor plans, cross-sections, volumes, and 3D models. Facade Measurement Traditional total station-based facade measurement methods have several limitations: Traditional methods are time-consuming and labor-intensive, requiring multiple people to collaborate during station setups, resulting in low efficiency during field data collection. Traditional methods require high technical skills from operators. Traditional techniques struggle to capture data effectively in scenarios with occlusions or obstructions. Traditional methods cannot promptly identify data quality issues. If problems are discovered during subsequent data processing, additional field measurements are required. Although oblique photogrammetry techniques can measure facades through low-altitude aerial photography, they are ineffective in areas with no-fly zones or tree obstructions, limiting data acquisition.   Handheld SLAM LiDAR scanners offer advantages such as high efficiency, rapid data acquisition, and rich information (not limited to windows, doors, and openings). It can measure any scanned area, enhancing efficiency in subsequent data processing. Additionally, devices with panoramic imaging capabilities assist operators in identifying materials, signage, text, and other information. Volume Measurement The traditional RTK (Real-Time Kinematic) and total station technologies involve measuring individual points on objects to provide a rough description of the surveyed object. These measurements are then used with third-party software for earthwork calculations. However, the major drawbacks of using traditional methods include large point spacing, long fieldwork time, and low efficiency of RTK and total station techniques.   On the other hand, SLAM (Simultaneous Localization and Mapping) technology does not rely on signals or the need for setting up and moving stations. It allows for extremely high point density (≥10,000 points/square meter). Whether it's the volume of an indoor or outdoor space, a transporting vessel, or the facade of a material storage bin, as long as the object can be scanned, volume measurement based on point clouds becomes highly convenient.   Other Applications Other applications include underground municipal facilities, forestry, real estate surveying, parking lots, construction, geology, and more. Factors to Consider When Buying a Handheld SLAM Scanner   Data Quality The first aspect to consider is the quality of the point cloud data. As a customer, you can judge the data quality based on the following factors: Layering of point clouds: Layering refers to the misalignment or misregistration of point clouds acquired at different times in the same location during a scanning operation. Thickness of point clouds: Thinner point clouds generally indicate better data quality, as thinner point clouds suggest superior algorithms. However, thinness does not refer to point cloud thinning, compression, or smoothing. Relative accuracy: Relative accuracy refers to the dimensional accuracy and should be greater than the measurement range of the laser itself when verifying relative accuracy measurements. Absolute accuracy: Currently, most handheld products on the market do not have GPS devices, so they rely on point marking to convert relative coordinates to absolute coordinates. The validation of absolute accuracy requires the deployment of reflector targets (such as 3M reflective stickers) on-site or the use of road markings as checkpoints.   Product Design Product design can be evaluated based on the following aspects: Stability: Stability refers to the stability of data acquisition and the device's ability to withstand harsh conditions (e.g., no device crashes or malfunctions). This assumes proper operation according to the manufacturer's instructions and in compliance with established procedures. User-friendliness: The design should be simple and easy to use, with considerations for comfortable handling. Ease of maintenance: The device should be easy to maintain, allowing for convenient repairs and servicing.   Conclusion The key factor in evaluating a handheld SLAM device lies in the quality of its data. Therefore, when selecting a product, it is crucial to conduct thorough testing and rely on practical experience.

When it comes to positioning, it's something that we are all familiar with in this era of information. Nowadays, everyone has a smartphone, and we use apps related to maps and navigation daily. These apps are based on positioning technology. Regarding positioning technology, people would think of terms like GPS and Beidou. These are all part of the Global Navigation Satellite System (GNSS). These satellites flying in space enable our smartphones to have positioning capabilities and provide us with navigation services. The above information is well-known. Now, let me introduce a concept that may be unfamiliar to many of us. It is also related to satellites and is one of the commonly used positioning technologies in the industry, providing significant assistance to our work and daily lives. It is called RTK. So, what exactly is RTK? Why do we need it when we already have satellites? What are its characteristics, and how does it work? Don't worry, let me explain them one by one. What is RTK? RTK, short for Real-Time Kinematic, is a technology that provides real-time dynamic positioning. Its full name is Real-Time Kinematic Carrier-Phase Differential Technology. Although this technology may seem professional, its underlying principles are not complicated. In short, RTK is a technique that assists GNSS. Why do we need to assist GNSS? It's because GNSS has its limitations! Satellite positioning is subject to errors. These errors arise from both internal and external factors. For example, errors occur when satellite signals pass through the ionosphere and troposphere. Other sources of errors include Doppler effects caused by high-speed satellite movement, multipath effects, channel errors, satellite clock errors, ephemeris errors, internal noise errors, and so on. Some of these errors can be eliminated, while others can only be partially eliminated or cannot be eliminated at all. They affect the accuracy and reliability of the GNSS system. To better eliminate errors and improve positioning accuracy, experts have developed a more advanced positioning technology known as RTK. How Does RTK Work? Let's look at the working principle of RTK. As shown in the above diagram, this is a standard configuration of a traditional RTK network. In addition to satellites, the RTK system consists of two essential components: the base station and the rover station. Both stations are equipped with satellite receivers to observe and receive satellite data. As the name suggests, the base station serves as the reference station, providing a known reference position. The rover station, on the other hand, is a mobile station that continuously moves. The rover station is the object target that measures its three-dimensional coordinates, which is typically the user end. You often see people outdoors carrying tripods for measurements. Some of them might be carrying RTK base stations or rover stations. Now let's examine the positioning process. First, the base station, serving as the measurement reference, is usually placed in an open area with good visibility. The three-dimensional coordinate information of the base station is generally known. Step 1: The base station starts by observing and receiving satellite data. Step 2: The base station transmits the observed data in real time to the rover station through a nearby radio station (data link), typically within a distance of no more than 20km. Step 3: While receiving data from the base station, the rover station also observes and receives satellite data. Step 4: Based on the data received from the base station and its data, the rover station performs real-time differential calculations using relative positioning principles. This process allows the rover station to compute its three-dimensional coordinates and accuracy, with positioning accuracy reaching 1cm to 2cm. With that, the measurement is completed. As you can see, RTK technology offers several advantages, such as no requirement for line-of-sight communication between observing stations, high positioning accuracy, simple operation, and all-weather operation. It is an excellent positioning technology. Network RTK vs Traditional RTK Earlier, we discussed traditional RTK technology, which is a basic model of RTK. Traditional RTK implementation is simple and cost-effective. However, it has a significant limitation: the distance restriction between the rover station and the base station. The farther the distance, the greater the difference in error factors, leading to decreased positioning accuracy. Moreover, if the distance exceeds the communication range of the radio station, it becomes impossible to work. To overcome the limitations of traditional RTK technology, network RTK technology was introduced in the mid-1990s. In network RTK technology, multiple base stations (three or more) are uniformly distributed in a larger area, forming a network of base stations. In this case, does the rover station need to be compared and calculated with each base station individually? No, that would be too cumbersome. In network RTK, a regional GNSS network error model is used instead of a single-point GNSS error model. The base station network sends data to a central server, which then simulates a "virtual base station" based on the data. (Hence, network RTK is also known as "virtual base station technology" or "virtual reference station technology".) The rover station only "sees" this "virtual base station." Based on the data sent by this "virtual base station," the rover station completes the final measurement calculations. The advantages of network RTK are evident. As you may have noticed, the mobile communication base stations we usually see can also serve as "base stations." Base stations are everywhere around us, which means network RTK achieves seamless coverage. The communication between the rover station and the central server can be accomplished through the built-in wireless communication module in the rover station (terminal). These high-precision positioning modules integrate RTK technology and serve as mobile communication modules, enabling the aforementioned functionalities. Furthermore, for users, there is no need to establish their base stations, which saves a significant amount of cost (only requiring some communication fees). Lastly, network RTK offers higher accuracy and reliability. With multiple base stations, even if one or two of them malfunction, it has a minimal impact. It is worth mentioning that in the network RTK model, the stability of the network has a significant impact on positioning accuracy. It is essential to ensure stable network communication to guarantee the stable transmission of differential data, thereby achieving ultra-high positioning accuracy. Conclusion After years of accumulation, RTK technology has become increasingly mature. Its characteristics of high accuracy, high speed, and high stability have made it widely used in fields such as surveying and mapping, unmanned aerial vehicles, vehicle navigation, and security. Geosun Navigation GS-100G handheld LiDAR scanner combines SLAM (Simultaneous Localization and Mapping), a real-time localization and mapping technology, with RTK (Real-Time Kinematic), a centimeter-level satellite differential positioning technology, to achieve scanning and mapping in unknown environments such as indoor and outdoor spaces without relying on GPS or other GNSS positioning. It can also be used in open outdoor environments with the assistance of differential positioning systems to directly correct cumulative errors, enabling the entire system to obtain higher-precision point cloud data in a wide range of outdoor acquisition processes without the need for loop closure. In the future, RTK technology will continue to evolve towards longer distances, higher precision, multi-frequency and multi-mode capabilities, and greater stability. Let us wait and see!

In recent years, the handheld LiDAR scanner has emerged as a powerful tool for capturing precise and detailed 3D data. This portable device utilizes laser technology to revolutionize surveying and mapping to create precise digital terrain models, monitor changes in landscape, and assist in infrastructure planning. Additionally, they aid in forestry management, archaeology, environmental monitoring, construction, and even augmented reality applications. How Does a Handheld LiDAR Scanner work and How to Use it? The working process of a 3D scanner involves three main steps: data acquisition, processing, and refinement. During data acquisition, the scanner utilizes a laser or structured light source to capture the geometric information of the object. The emitted light interacts with the object's surface, and the scanner's sensor captures the reflected light. This collected data forms the basis for creating a 3D model. Next, the acquired data undergoes processing to generate a comprehensive 3D model. Raw data is converted into a point cloud, which contains precise information about the object's position and surface details. This transformation allows for a digital representation of the object's shape and structure. Once the initial 3D model is generated, it can be refined and enhanced using specialized software. This refinement process involves tasks such as smoothing out rough surfaces, filling in gaps or holes in the model, and adding additional details to improve its accuracy and visual appeal. The end result is a highly accurate and detailed digital representation of the scanned object. Watch the following video to learn how to use our GS-100G handheld LiDAR scanner: Why use the Handheld LiDAR Scanner? The handheld LiDAR scanner offers numerous advantages and benefits, making it a valuable tool across various industries. Here are some key reasons why the handheld LiDAR scanner is widely used: Portability and Accessibility: Unlike traditional LiDAR systems that are typically large and stationary, handheld LiDAR scanners are compact, lightweight, and portable. This mobility allows users to easily navigate and scan in various environments, including challenging or hard-to-reach areas. The scanner's portability ensures accessibility and flexibility in data collection. High Precision and Accuracy: Handheld LiDAR scanners provide exceptional precision and accuracy in capturing 3D data. They can generate high-density point clouds with millions of data points, resulting in detailed and accurate representations of the scanned objects or environments. This level of precision is crucial for applications such as surveying, mapping, and infrastructure planning. Rapid Data Acquisition: Handheld LiDAR scanners enable fast data acquisition, significantly reducing the time required for data collection compared to traditional surveying methods. With their real-time scanning capabilities, users can quickly capture vast areas or objects, allowing for efficient project completion and increased productivity. Versatile Applications: The handheld LiDAR scanner finds applications in a wide range of industries. It is utilized in surveying and mapping for creating digital terrain models, monitoring land changes, and conducting volumetric analysis. It is also employed in construction for quality control, progress monitoring, and as-built documentation. Additionally, it aids in forestry management, archaeology, infrastructure inspection, virtual reality, and more. Improved Safety: By enabling remote data capture, handheld LiDAR scanners enhance safety in various scenarios. They allow users to collect data from hazardous or inaccessible areas without putting personnel at risk. This capability is particularly valuable in industries such as mining, oil and gas, and emergency response, where safety is a primary concern. Cost and Resource Efficiency: Handheld LiDAR scanners offer cost and resource savings compared to traditional surveying methods. They reduce the need for extensive fieldwork, minimize manual measurements, and streamline data collection processes. This efficiency translates into reduced labor costs, increased project throughput, and optimized resource allocation. How to Choose the Best Handheld LiDAR Scanner? Choosing the best handheld LiDAR scanner involves considering several important factors. Here are some key points to guide you in the selection process: Accuracy and Range: Look for a handheld LiDAR scanner that offers high accuracy and a suitable range for your intended applications. Consider the scanner's maximum range and its ability to capture precise data in various conditions. Data Quality: Assess the scanner's data quality specifications, such as point density, point cloud resolution, and noise levels. Higher data quality ensures more detailed and reliable results. Portability and Ease of Use: Handheld LiDAR scanners should be lightweight, compact, and easy to operate. Consider factors such as size, weight, ergonomics, and the user interface to ensure convenient and efficient scanning. Battery Life: Check the scanner's battery life and charging options. Look for a device that can sustain extended scanning sessions without frequent recharging. Integration and Connectivity: Consider the scanner's ability to integrate with other systems or devices, such as GPS receivers or external sensors. Connectivity options like Wi-Fi, Bluetooth, or USB can enhance data transfer and collaboration. Price and Value: Evaluate the scanner's price in relation to its features and performance. Consider your budget and the return on investment (ROI) you expect from the scanner's capabilities. Application Compatibility: Ensure that the scanner is suitable for your specific applications, such as surveying, construction, forestry, or archaeology. Some scanners may excel in certain industries or use cases more than others. Remember to follow any additional recommendations or guidelines provided by the scanner manufacturer to achieve optimal results. Regularly maintain and calibrate the scanner to ensure its accuracy and performance over time.

Handheld LiDAR (Light Detection and Ranging) technology has revolutionized the way we map and navigate through challenging environments. By utilizing laser beams to measure distances and create high-resolution 3D models, handheld LiDAR devices have proven to be invaluable tools in mapping various difficult terrains. In this article, we will explore the applications of handheld LiDAR in mapping environments such as staircases, mines, garages, parks, forests, and power lines. Mapping Mines The underground environment of mines poses numerous challenges for mapping and exploration. Handheld LiDAR offers a solution by providing real-time 3D mapping capabilities. Its ability to penetrate darkness and dust allows for the creation of accurate maps, aiding in mine planning, safety assessments, and optimizing mining operations. Mapping Staircases Handheld LiDAR devices are instrumental in mapping staircases, especially in complex building structures. By capturing precise measurements and generating detailed point clouds, LiDAR enables accurate modeling of staircases' dimensions, angles, and surface irregularities. This data can be utilized for architectural design, renovation projects, and improving accessibility in public spaces. Mapping Garages Navigating through congested parking garages can be a daunting task. Handheld LiDAR scanners offer a practical solution by quickly mapping the garage's layout, including columns, walls, and parking spaces. This data can be integrated into navigation systems, enabling drivers to find available parking spaces efficiently and reducing traffic congestion. Mapping Industrial Parks Industrial parks often consist of complex structures and large areas that require efficient mapping solutions. Handheld LiDAR technology allows for the rapid scanning and mapping of industrial park environments. This data provides valuable information for infrastructure planning, site management, and optimizing logistics within the park. Mapping Power Lines Handheld LiDAR scanners play a vital role in mapping power lines, particularly in challenging topographies. Traditional methods often involve risks for workers, such as climbing utility poles. With LiDAR, power line inspections can be conducted remotely, capturing precise measurements of the power lines' position, sag, and vegetation encroachments. This information facilitates maintenance planning, reducing downtime and improving safety. Conclusion Handheld LiDAR technology has opened up new possibilities for mapping difficult environments. From staircases and mines to garages, parks, forests, and power lines, these devices enable faster, safer, and more accurate data collection. The applications discussed in this article demonstrate the potential of handheld LiDAR in various industries, contributing to improved planning, enhanced safety, and efficient utilization of resources. As technology continues to advance, we can expect further innovations and expanded applications of handheld LiDAR in mapping challenging environments.

LiDAR, short for Light Detection and Ranging, is an emerging LiDAR scanning technology used in surveying applications. It integrates three key technologies: laser ranging systems, Global Positioning Systems (GPS), and Inertial Navigation Systems (INS). This integration has resulted in significant advancements in the real-time acquisition of three-dimensional spatial information. LiDAR provides a novel technical means for obtaining high-resolution spatial information in terms of both time and space. It is considered the most advanced surveying technique in the field today. Advantages of LiDAR Technology (1) Rich Data Digital Surface Model (DSM): The DSM accurately represents the terrain and surface features, making it suitable for generating true orthoimages and digital 3D models.   Digital Orthophoto (DOM): Using a Digital Elevation Model (DEM), the DOM corrects the digital aerial image pixels and creates image results generated by image mosaicking. It provides rich and intuitive information, with good interpretability and measurability, allowing direct extraction of natural and socio-economic information.   Digital Elevation Model (DEM): By extracting ground data from LiDAR-derived 3D point clouds, a digital elevation model can be generated.   Digital Line Graph (DLG): By utilizing LiDAR point clouds and DOM images, DLG products at large scales (1:500 to 1:2000) can be rapidly produced, reducing field survey work and significantly improving mapping efficiency. It can increase mapping efficiency by 5% to 20% compared to traditional manual field surveys.   (2) High level of automation From flight design to data acquisition to the processing of final products, the level of automation is very high. Real-time flight trajectory is displayed through GPS technology. There is no risk of missing data, thus avoiding human errors.   (3) Sensitivity in information acquisition LiDAR can obtain target information with a resolution smaller than remote sensing or radar imagery. It can penetrate vegetation cover to acquire ground point data.   (4) Sensor working conditions LiDAR measurement is an active sensing method that emits and receives laser pulses. It can penetrate dense vegetation and reach the ground, without being limited by lighting conditions or shadows. The obtained digital elevation model (DEM) closely represents the true surface morphology. LiDAR technology is highly accurate and suitable for capturing large areas, combining the characteristics of aerial photogrammetry and laser ranging. It is the optimal choice for obtaining high-precision digital elevation model data over large regions.   (5) Short production cycles LiDAR systems directly acquire the coordinates of ground 3D point clouds and the orientation elements of imagery. They require little to no ground control points, enabling direct production of DEM and digital orthophoto maps (DOM). Compared to traditional aerial surveying and stereoplotting, LiDAR significantly reduces the workload for map production by around 30% to 50% and decreases the compilation workload by approximately 50%. This greatly shortens the overall work cycle.   Applications of LiDAR in Surveying   (1) Rapid acquisition of digital elevation models (DEM) LiDAR point cloud data is the most direct data product in LiDAR technology. The density and accuracy of point cloud data are relatively high, and they can quickly display the three-dimensional coordinates of points. By manually or automatically classifying, filtering, or removing point clouds from targets such as terrain outside vegetation or buildings, a triangulated irregular network (TIN) can be constructed to obtain DEM promptly. Due to the high density of LiDAR points, the generation of DEM is more convenient and accurate.   (2) Implementation of basic surveying The products of basic surveying mainly include digital elevation models (DEM), digital orthophoto images (DOM), digital line graph maps (DLG), and digital raster maps (DRG). Regardless of the generation of any of these products, they require the assistance and guidance of high-precision three-dimensional information. Digital photogrammetry is complex and requires strict pre-preparation and technical planning. It requires technical personnel to have proficient operating skills. However, the data and three-dimensional coordinates obtained through LiDAR technology can achieve the high-precision image differential correction required for the production of DOM, making the production process more simplified and no longer relying on digital photogrammetry. It can be achieved in general remote sensing image processing systems.   (3) Applications in the forestry industry LiDAR has strong penetration ability. Its good unidirectionality allows it to pass through narrow gaps and reach the ground surface, thereby obtaining accurate ground elevation in forest-covered areas. The commercial application of airborne LiDAR systems initially focused on the forestry industry because accurate data on forest cover and the underlying terrain are required for forest management and land administration. Traditional techniques have difficulty in obtaining precise information on tree height and tree density. Unlike satellite imaging, airborne LiDAR systems can simultaneously obtain the height of trees when surveying the terrain under the tree canopy.   (4) Engineering Surveying For engineering surveying, high-precision three-dimensional coordinate information of the surveying targets needs to be collected, and even more accurate three-dimensional object models may need to be established. Examples include power line inspections, measurements of tunnels and mines, hydrological surveys, and other fields. Both ground-based and airborne LiDAR are the best methods for solving these practical problems. Utilizing digital images and texture information, the construction of three-dimensional models based on structures can provide important foundations for landscape analysis, planning decisions, deformation measurements, and object preservation.   (5) Urban Digitization Currently, various industries are pursuing digitalization of their respective businesses. In a digital city, spatial information plays a crucial role as the foundational framework and platform for its construction. LiDAR systems can effectively acquire high-resolution and high-precision digital terrain models and digital orthophoto images, providing valuable spatial information resources for cities and playing a significant role in urban development. Digital cities also require the construction of high-precision, true three-dimensional, measurable, and realistic city models as virtual platforms for city management. However, traditional techniques for urban 3D modeling are time-consuming, inefficient, and often yield subpar results, directly impacting the breadth and depth of digital city services. By using LiDAR technology to conduct airborne LiDAR scanning or ground-based multi-angle LiDAR scanning of buildings and terrain, high-density and high-precision three-dimensional point coordinates of targets can be rapidly obtained. Point cloud data can then be used to construct models and apply texture mapping with software support, enabling the creation of large-scale urban 3D models from various perspectives. Additionally, rapid and dynamic updates can be implemented, providing a reliable foundation for the continuous and historical development of basic data sources for digital city construction.   (6) Submarine Terrain Mapping Some LiDAR technologies utilize two different wavelengths of LiDAR beams to measure underwater terrain. By using red light (or infrared light) to measure the water surface while penetrating the water with blue-green light to measure the underwater terrain, the depth of the water can be calculated based on the time difference between the two received beams. This enables large-scale underwater terrain mapping. Generally, Lidar can measure the depth of seawater up to 50 meters, which varies with the clarity of the water. It is widely applied in industries such as navigation channels, nearshore marine environments, and hydrology.   (7) Digital Mining Currently, mines and the cities associated with mining face significant challenges. Overexploitation directly leads to environmental problems, and excessive mining depletes resources. Additionally, internal factors within mining operations and their impacts on people, machinery, materials, methods, and the environment must be considered. Strengthening the construction of digital mining is an effective approach to address these challenges from multiple perspectives, aiming for a comprehensive solution. LiDAR technology can be used to rapidly collect data across the entire mine and construct three-dimensional models, which better represent its form. Each component has different considerations during modeling. Generally, the construction should be done in a layered manner, and multidimensional evaluations should be conducted, primarily focusing on environmental, economic, and natural disaster assessments. This enables efficient data feedback, providing continuous data availability 24 hours a day and ensuring the clarity and rationality of the overall model construction. Additionally, it facilitates the prediction and assessment of potential future accidents, helping prevent them proactively.   (8) Power Transmission and Pipeline Layout LiDAR scanning systems operating on airborne platforms are most suitable for measuring transmission lines. Aircraft can adjust their altitude and speed as needed to obtain more accurate data. By simultaneously using video recorders, digital cameras, and other sensors in the LiDAR scanning application platform, both LiDAR scanning measurements and line inspection and mapping work can be conducted synchronously.  

A handheld 3D LiDAR scanner is a portable device used to capture the geometric shape and surface details of objects or scenes in 3D. It operates by emitting laser beams to scan the target, and calculates the object's distance and shape by measuring the reflection or echo of light. Such scanners typically consist of the following components: Laser emitter: Emits laser beams to scan the target object. Receiver: Collects the laser beams reflected from the target object. Control unit: Manages the emission and reception processes of the laser, and processes the scanning data. Software: Processes the scanning data to generate 3D models and for subsequent analysis. When using a handheld 3D LiDAR scanner, the operator aims the scanner at the target object and scans it from different angles and positions. The laser beam creates many points on the object's surface, forming a point cloud dataset. By performing multiple scans from various angles and positions, a more complete point cloud dataset can be obtained. After scanning, the scan data can be imported into related software for processing. By processing and aligning the point cloud data, 3D models of the target object can be generated. These models find applications in industrial design, architectural measurement, cultural heritage preservation, and other fields. The handheld 3D LiDAR scanner offers the advantages of portability and flexibility, allowing scanning in diverse environments and suitability for small or immobile target objects. Widely applied across multiple industries, it provides users with a high-precision, rapid solution for acquiring three-dimensional data. According to the latest research report by QY Research, the global market size for handheld 3D LiDAR scanners was approximately $367.4 million in 2023 and is projected to reach $665.6 million by 2029, with a compound annual growth rate (CAGR) of 10.41% over the coming years. Navigating through congested parking garages can be a daunting task. Handheld LiDAR scanners offer a practical solution by quickly mapping the garage's layout, including columns, walls, and parking spaces. This data can be integrated into navigation systems, enabling drivers to find available parking spaces efficiently and reducing traffic congestion.   Key Drivers Growing Demand Across Industries: Industries such as Architecture, Engineering, Construction (AEC), Automotive, Healthcare, and Manufacturing have a rising need for high-precision digital models and 3D scanning applications, driving the growth of the handheld 3D LiDAR scanner market. Real-time Data Capture Capability: Handheld 3D LiDAR scanners can capture accurate and detailed 3D data in real-time, making them ideal for on-site measurement and inspection, thus promoting their adoption. Advancements in Laser Scanning Technology: Progress in laser scanning technology, such as the development of high-resolution sensors, improved scanning speeds, and enhanced data processing capabilities, is enhancing the performance of handheld 3D LiDAR scanners and driving market growth. Increased Applications in Reverse Engineering and Quality Control: Handheld 3D LiDAR scanners are increasingly used in reverse engineering, quality control, inspection, and rapid prototyping applications, which is fostering market expansion. Key Barriers High Initial Costs: A significant constraint in the handheld 3D LiDAR scanner market is the relatively high initial costs associated with acquiring these devices. Advanced technology, precision, and functionality typically require substantial upfront investment, which may hinder widespread adoption across all sectors, especially for small businesses with limited budgets. Complexity and Skill Requirements: Effectively using handheld 3D LiDAR scanners requires a certain level of technical expertise and training. Operators need to understand device setup, operation, data management, and accurate interpretation of results. The complexity of this technology could limit its adoption in industries or regions facing a shortage of skilled technical personnel. Data Processing Challenges: While advancements in data processing capabilities improve the performance of handheld 3D LiDAR scanners, managing the large volume of data generated during scanning remains a challenge. This can lead to project delays and additional costs associated with data processing software and hardware. Limited Range and Field of View: Handheld 3D LiDAR scanners often have limitations in scanning range and field of view. This means they may not be suitable for scanning larger objects or environments, requiring multiple scans and post-processing to create complete 3D models. This limitation could restrict applications such as large-scale construction projects.   Trends Miniaturization and Portability: A trend in handheld 3D LiDAR scanner development is becoming more compact and portable, enhancing usability in various environments. This trend enables users to carry scanners to remote or hard-to-reach locations for on-site measurements. Enhanced Data Processing Software: Continued improvements in data processing software are expected. These advancements will streamline the handling of large scan data volumes, making them more accessible and efficient for users with varying levels of technical expertise.

In the field of Geographic Information Systems (GIS), accuracy and penetration are paramount. Introducing the GS-1500N, a state-of-the-art 1550nm laser pulse LiDAR system designed to deliver unparalleled performance and cost-effectiveness, catering to the most demanding surveying needs. Exceptional Performance, Unmatched Benefits The GS-1500N LiDAR system leverages advanced 1550nm laser technology to achieve outstanding accuracy and depth penetration. Whether you’re involved in urban planning, forest conservation, or resource exploration, this LiDAR system offers unmatched data quality and reliability.   Case Study: Forest Reserve Project Recently, we deployed the GS-1500N for a forest reserve project, where its remarkable capabilities were put to the test. Operating at a flight height of 250 meters and a speed of 7 meters per second, the GS-1500N achieved an impressive 5cm precision on hard surfaces such as roads. Additionally, it generated highly accurate Digital Elevation Models (DEMs) even in densely vegetated areas, demonstrating its superior performance in challenging environments. Cost-Effective, Exceptional Value Not only does the GS-1500N excel in performance, but it also offers exceptional cost-effectiveness. Its high value for money makes it the ideal choice for projects of all sizes, helping clients achieve optimal surveying solutions within their budget. Versatile Applications, Unlimited Potential The GS-1500N is perfectly suited for a wide range of applications, from urban infrastructure development and natural resource management to environmental monitoring and protection. Its robust technical support and reliable performance ensure it can provide stable, precise data across various scenarios.     The GS-1500N 1550nm laser pulse LiDAR system sets a new standard in the GIS industry with its exceptional accuracy, depth penetration, and cost-effectiveness. Choosing the GS-1500N means embracing the future of surveying technology.   Contact us to learn more about the GS-1500N and discover how this revolutionary product can elevate your projects to new heights.

At Geosun Navigation, we're revolutionizing the way you perceive precision mapping and navigation. Vibrant Visuals: Experience the world like never before with our GS-2000N LiDAR scanner, capturing every intricate detail with unparalleled clarity, even from heights of 350m AGL. From the mesmerizing laser point clouds to the vivid imagery, our technology brings landscapes to life.   Unmatched Accuracy: Precision isn't just a goal; it's our guarantee. With advanced LiDAR technology onboard, our products deliver pinpoint accuracy, even at speeds of 20m per second, empowering you to make informed decisions with confidence.     Innovation Redefined: Our commitment to innovation drives us to constantly push boundaries. With unmanned aerial vehicles (UAVs) soaring at optimal altitudes, our solutions redefine what's possible in precision mapping and navigation.  Experience the Difference: Join the league of forward-thinkers who trust Geosun Navigation for their mapping and navigation needs. Let us propel your projects to new heights with our unmatched performance and reliability. Ready to unlock the power of precision? Discover the Geosun Navigation advantage today!

Yesterday, GEOSUN had the esteemed opportunity to participate in the "U Choose Hubei" Economic and Trade Fair, meticulously organized by the Hubei government. This event served as a pivotal platform for showcasing innovative technologies and fostering international collaborations. Among the distinguished attendees, GEOSUN had the honor of presenting the principles and applications of LiDAR technology to the esteemed South African Ambassador to China, Siyabonga C. Cwele, and Economic Counsellor Gary James Smith. LiDAR technology, which uses laser pulses to create precise 3D maps, has wide-ranging applications from autonomous vehicles to urban planning. During the event, GEOSUN experts explained the basics of LiDAR and its diverse uses, emphasizing its importance in various industries. Our interaction with the Ambassador Cwele was insightful, as we discussed how LiDAR technology can drive innovation globally. The ambassador showed keen interest in LiDAR's potential for urban development, infrastructure planning, and environmental protection.   GEOSUN's participation in the "U Choose Hubei" event highlights our commitment to technology and international collaboration. We're excited about future opportunities to leverage LiDAR for positive change.  

Dr. Sun, a key leader at Geosun Navigation, recently spoke at Wuhan University, shedding light on LiDAR technology.   Dr. Sun elaborated on LiDAR's diverse applications, emphasizing its pivotal role in fields such as autonomous vehicles, terrain mapping,environmental monitoring, and more.       His address underscored the transformative potential of LiDAR across various sectors, fostering innovation and progress in the realm of navigation technology.

On March 6, Geo Connect Asia 2024 was successfully held at the Sands Exhibition and Convention Center in Singapore. The foreign trade team of Geosun Navigation made a wonderful appearance with the company's core products!   Jerry successfully took the stage to delve into the groundbreaking world of drone lidar technology!   At this event, we also met many new partners, had lively discussions and established new contacts.   More visitors, more discussions, more cooperation and more success!Your insights and feedback are always valuable to us as we continue to provide even greater solutions to meet your needs. We're looking forward to the next opportunity to connect with all of you.

During the Spring Festival, GEO WEEK 2024 was successfully held in Denver, USA.   Most clients from US, South America, Janpan and Uganda visit us to learn about our mobile LiDAR systems, airborne LiDAR systems, and high-precision GNSS receivers. We've also had many great conversations and discussions with our visitors.   Thanks to all the visitors in the past three days! We appreciate you taking the time to connect with our team and engage in productive discussions. We also had the pleasure of connecting with our long-term partners in this event to update our latest technology and co-host visitors from all over the world.  

At the beginning of the new year, drones equipped with the GS-1500N lidar scanning system conducted large-scale geographical surveying and mapping work in Xinjiang. During this trip, in the extreme environments of ice and snow and the Gobi Desert, the GS-1500N was still able to quickly and accurately acquire high-precision point cloud data, showing excellent performance and high stability, providing a reliable solution for geographical surveying and mapping work in the Xinjiang region.

On December 26, the Optics Valley Potential Star Gazelle Star Enterprise List was released and the Wuhan East Lake New Technology Development Zone Science and Technology Innovation Finance Association preparatory meeting was held grandly at the Optics Valley Technology Building.  This event was guided by the Science and Technology Innovation Bureau and Financial Bureau of Wuhan East Lake New Technology Development Zone and hosted by Optics Valley Financial Holdings Group. 30 companies were listed and included in the "Optics Valley Gazelle Enterprise Acceleration Camp". After open solicitation, on-site visits and expert reviews, Wuhan Geosun Navigation Technology Co.,Ltd. successfully won the 2023 "Optical Valley Potential Star"   This time, Geosun Navigation won the "Optical Valley Potential Star". We would like to thank the government and Optics Valley Financial Holdings and other relevant departments for their strong support. We would also like to thank our friends and partners who have always supported the development of Geosun Navigation. In 2024, Geosun will continue to make new contributions to the development of China's geospatial information industry, and continue to create greater value for customers and society!

On December 9, 2023, the International Academic Forum for Non-Exposed Spaces was successfully held at The Hong Kong Polytechnic University. Experts, scholars and industry representatives from Beijing, Shanghai, Shenzhen, Hong Kong and other places gathered together to exchange experience on non-exposure spaces by sharing their experiences in their respective fields. The application of space in different industries, and the integration and development of various fields of non-exposed space are expected.   The term "non-exposed space" was first academically defined by Academician Yang Yuanxi at the first "Beidou Salon" conference. Under the guidance of Academician Sun Jiadong, and with the joint advocacy of many academicians, the "Beidou Salon" was officially renamed "Non-Exposed Space Academic forum".   This forum invited many experts and scholars to share the development and application of satellite communications, remote sensing, Beidou + UWB, real-life 3D and other technologies in non-exposed space fields such as urban rail transit, ship ports, and coal mine tunnels. In the opening speech, Dr. Sun Hongxing, general manager of Wuhan Geosun Navigation Technology Co.,Ltd shared the principles, applications and development of mobile laser scanning systems. Dr. Sun Hongxing gave a speech   Geosun Navigation won the "Non-Exposed Space Application Innovation Award" for its innovative applications in the field of geographic information space.  

 The CHINTERGEO 2023 was successfully held at the Guangzhou PWTC Expo. The exhibition gathered professional surveyors and manufacturers from the surveying and mapping geographic information technology industry from all over the world. It is not only a highly influential platform for surveying and mapping equipment in China and the Asia-Pacific region, but also an international exhibition certified by the Global Exhibition Industry Association-UFI. GEOSUN is carrying a number of advanced equipment, providing comprehensive, efficient and integrated solutions for the field application of surveying and mapping geographic information technology.

China Surveying and Mapping Geographic Information Technology and Beidou Application Expo was hold successfully in Geographic Information Town, DEQING. Dr. Sun, General Manager introduces new LiDAR solution to Academician Li.   the GEOSUN navigation technology innovation achievements have been praised by Academician Li.   Photo with Professor Jiang Weiping   The exhibition has concluded, yet the wonderful GEOSUN Navigation is still.

Geosun Shines at INTERGEO – Leading Innovation in Global Surveying INTERGEO, the world’s largest and most authoritative exhibition for the surveying and mapping industry, has successfully wrapped up another vibrant edition. Organized by the German Association for Surveying, Geographic Information, and Land Management, INTERGEO has been a cornerstone of the geospatial world for over 20 years, serving as a vital platform for innovation, knowledge exchange, and international collaboration. This year, GEOSUN Navigation proudly participated, showcasing our latest breakthroughs in LiDAR technology and mobile mapping solutions. Our booth drew significant attention from professionals, researchers, and enterprises across the globe, all eager to explore the potential of our high-precision, cost-effective systems.

Geosun Navigation was invited to participate in the "18th China Geographical Information Science Theory and Methods Academic Annual Conference." The conference was successfully held in Guilin, Guangxi, China from May 19th to 21st, 2023. It was organized by the Geographical Information Science Theory and Methods Working Committee of the China Geographical Information Industry Association and is currently the largest academic symposium in the domestic GIS field. The conference focused on the discussion of geographical information science theory, methods, technologies, applications, and industrialization. It attracted renowned enterprises, universities, and research institutions from the domestic and international surveying and geographic information industry. The event showcased new technologies, products, and trends in the industry. The concurrent exhibition featured high-precision laser scanners, domestically developed intelligent measurement robots, drones, geographic information system software, and more, highlighting the innovative vitality of geographic information enterprises. During the conference, Geosun Navigation exhibited products including airborne/vehicle-mounted multi-platform LiDAR scanning systems of different ranges and handheld LiDAR scanning systems. This demonstrated the diverse aspects and broad potential of laser scanning applications. The company showcased the prosperous application scenarios of its products in various fields such as land resources, agriculture, forestry, water conservancy, and digital cities, attracting the attention of conference guests and attendees. The conference venue was bustling with people, and the atmosphere was lively. Several experts visited the booth and attentively listened to Geosun Navigation 's exploration and achievements in the innovation of BeiDou navigation and positioning applications. As a leading enterprise in BeiDou navigation and positioning applications, Geosun Navigation keeps pace with industry innovation, actively promotes research in cutting-edge fields and technologies, and fully demonstrates the technical advantages of its integrated software and hardware solutions in industry applications. As pioneers and pragmatists in the surveying and geographic information industry, Geosun Navigation takes industry progress as its responsibility and aims to provide high-quality services. The company actively shares new achievements and technologies, learns from excellent industry solutions, improves products, optimizes services, and seeks innovation. We hope that our technology can bring secure and efficient industrial transformation solutions and opportunities to more regions and industries, empowering production with point clouds and optimizing life with technology.

Geosun Navigation Shines at Geo Connect Asia 2023 Geo Connect Asia 2023 brought together the world’s foremost innovators and thought leaders in geospatial technologies and location intelligence, making it one of the most influential events in the industry. Geosun Navigation was proud to be part of this dynamic gathering, showcasing our latest advancements in LiDAR scanning systems. As the demand for efficient and accurate surveying continues to grow, professionals across the region are turning their attention to how LiDAR technology can outperform traditional surveying methods—not only in terms of precision and productivity, but also in affordability. Geosun responded to this curiosity with a full lineup of cost-effective, high-performance LiDAR solutions, designed for a wide range of mapping and geospatial applications. Throughout the exhibition, our booth attracted significant interest from industry experts, government representatives, and potential partners. The Geosun team was excited to demonstrate how our handheld, airborne, and vehicle-mounted LiDAR systems can revolutionize data collection and geospatial workflows. We remain committed to making LiDAR technology more accessible, versatile, and intelligent—empowering industries to build smarter cities, safer infrastructure, and more sustainable environments. Thank you to everyone who stopped by to connect with us. Let’s continue shaping the future of geospatial innovation, together.    

The three-day CHINTERGEO China Surveying and Mapping Geographic Information Technology Equipment Exhibition (hereinafter referred to as the "CHINTERGEO Exhibition") successfully concluded on February 16, 2023, at the Nanchang Greenland International Expo Center. With the theme "Embracing the N+ Geospatial Information New Era," the exhibition gathered numerous well-known domestic and international brands from the surveying, mapping, and geospatial information industry. Geosun Navigation stood out at the event by showcasing its technical strength, product advantages, and application-driven solutions. The company featured its high-precision, cost-effective mobile LiDAR scanning system and its POS system, developed with completely independent intellectual property rights. Throughout the exhibition, Geosun’s handheld LiDAR scanning system as well as its short-, medium-, and long-range LiDAR scanning solutions—designed for airborne and vehicle-mounted platforms—were on display. These offerings attracted a great deal of attention, drawing in many visitors for in-depth conversations and idea exchanges. Additionally, Geosun’s gSpin610 high-precision fiber optic inertial navigation system and PBox unmanned vehicle integrated navigation and positioning system became highlights of the event, receiving significant interest from attendees. As the domestication of LiDAR scanning technology accelerates, more enterprises are entering the market, leading to increasing product homogenization. In such a competitive landscape, mastery of core technologies is more critical than ever. Geosun Navigation leverages its deep technical expertise to drive innovation in the industry, delivering cost-effective, high-performance LiDAR solutions to meet evolving user needs.        

Looking Back at INTERGEO 2022: Geosun’s Journey in Surveying and 3D Mapping Innovation It has been a month since INTERGEO 2022 — the world’s leading event and communication platform for geodesy, geoinformation, and land management — took place in Essen, Germany. And yet, the energy, inspiration, and connections from the event remain vivid. At INTERGEO, Geosun proudly presented its latest UAV LiDAR scanning systems, offering cutting-edge solutions for high-precision surveying and 3D mapping. Throughout the exhibition, our booth became a hub of exciting exchanges, where we had the pleasure of engaging with professionals, partners, and innovators from across the globe. We are truly grateful for the conversations, insights, and enthusiasm shared during the three-day event. Every handshake and discussion reinforced our mission: To make LiDAR technology more accessible, more versatile, and more impactful across industries. As we look ahead, the Geosun team remains committed to advancing geospatial technology with innovation at its core — and we can’t wait to meet you again in future collaborations and exhibitions.  

Geosun to Showcase Cutting-Edge LiDAR Solutions at INTERGEO 2022 in Essen, Germany From October 18 to 20, 2022, the global geospatial community will gather in Essen, Germany for INTERGEO EXPO and CONFERENCE — one of the most influential events in the field of geodesy, geoinformation, and land management. Geosun is proud to participate in this prestigious international platform, where we will present our latest advancements in UAV-based LiDAR scanning systems. Designed with precision, performance, and affordability in mind, our innovative solutions are empowering surveyors, engineers, and mapping professionals across the globe.

  Geosun Shines at Provincial Aerospace Industry Conference with Breakthrough UAV LiDAR Technologies The Provincial Aerospace Industry Conference was successfully held on the 7th of this month, bringing together industry leaders, experts, and innovators to exchange insights on the future of aerospace technology. Among the distinguished participants was Dr. Sun, founder of Geosun, a recognized leader in GNSS and LiDAR innovation.   Dr. Sun was invited to deliver a keynote speech titled “Real-Time Point Cloud Generation Technology and Application in UAV Laser Scanning”, sharing Geosun’s cutting-edge advancements in real-time data acquisition and spatial perception. His presentation was met with high praise and strong recognition from both government officials and industry professionals in attendance.   A highlight of the event was the showcasing of Geosun’s GS-100G handheld LiDAR system and their series of airborne LiDAR scanning solutions, which drew significant interest for their advanced capabilities, compact design, and application versatility. These systems demonstrated Geosun’s technical strength and leadership in delivering efficient, high-precision data solutions for smart mapping, autonomous navigation, and digital infrastructure development.   The enthusiastic response at the conference further reinforces Geosun’s commitment to driving innovation in the aerospace and geospatial industries, contributing not only to technological progress but also to the realization of intelligent, data-driven futures.                                                                                                                      

Geosun Shines at 2022 Geo Week with Next-Generation LiDAR Innovations Geosun proudly took the stage at 2022 Geo Week, held from February 6–8 at the Colorado Convention Center in Denver, USA, bringing its most advanced UAV LiDAR scanning systems to one of the world's leading geospatial events. With a commitment to precision, reliability, and innovation, Geosun presented its latest breakthroughs in LiDAR technology, drawing strong interest from industry leaders, engineers, and researchers in fields spanning mapping, surveying, construction, and digital infrastructure. At the heart of Geosun’s presence was a series of live demonstrations, offering attendees a first-hand experience of our systems’ real-time data capture, robust GNSS/INS integration, and ultra-high-resolution point cloud outputs. From compact drone-mounted units to professional-grade surveying systems, Geosun’s technology underscored its readiness to meet the evolving demands of global geospatial applications. This successful showcase further reinforced Geosun’s mission to empower professionals worldwide with tools that simplify complexity and elevate accuracy—all powered by our fully independent R&D capabilities and decades of field expertise. We sincerely thank all visitors and partners who joined us in Denver. Your engagement inspires us to keep pushing the boundaries of what’s possible in the world of LiDAR.

Geosun UAV LiDAR scanning systems selects ACEINNA as IMU provider ACEINNA, a globally recognized leader in the development of inertial-based guidance and navigation technologies for autonomous systems, officially announced that Geosun, a leading provider of LiDAR-based navigation solutions for unmanned aerial vehicles (UAVs) and remotely operated vehicles (ROVs), has selected ACEINNA’s advanced Inertial Measurement Unit (IMU) sensors. These high-precision IMUs will serve as a critical component in Geosun’s LiDAR scanning systems, supporting enhanced mobile positioning accuracy and system reliability across a wide range of geospatial and autonomous navigation applications. Geosun is integrating ACEINNA’s OpenIMU330BI and IMU383 IMU’s into their various LiDAR Scanning Systems that are used to help navigate and guide airborne drone systems, especially those used in a variety of construction planning and mapping operations. “We are excited to partner with Geosun, China’s leading developer of guidance systems for their LiDAR scanning systems,” said Dr. Yang Zhao, Chairman and CEO of ACEINNA. “We are working with them to integrate our high-performance inertial navigation hardware & algorithms into their various lines of LiDAR scanning solutions.” ACEINNA’s OpenIMU330BI and IMU383 IMUs are ultra-reliable and provide accuracy of up to 1.3 degrees/hour. These triple redundant IMUs solutions (both hardware and software) are easy to integrate and provide cost effective guidance and navigation solutions for a wide range of autonomous vehicles including mapping drones, robot delivery, self-driving cars, and taxis, ADAS systems, electronic stability control, lane keeping applications, etc. “The reliable, accurate performance of ACEINNA brand IMUs has helped our LiDAR Scanning systems to sell very well,” said Dr. Hongxing Sun, CEO of Geosun. “They are extremely popular with our customers. And, in the future, based on our mutual understanding and benefits, we plan on further strengthening our cooperation with ACEINNA.”

GEOSUN’s LiDAR Scanning Systems Earn CE & RoHS Certifications — A Step Closer to Empowering the World with Precision Mapping In March 2021, GEOSUN achieved an exciting and meaningful milestone: our LiDAR Scanning Systems officially received CE and RoHS certifications, unlocking new opportunities in European and global markets. This accomplishment is far more than a regulatory approval—it reflects our relentless pursuit of excellence, safety, and sustainability on the international stage. For years, GEOSUN has been driven by a clear mission: to reshape the way humans interact with space through cutting-edge geospatial technologies. Our commitment to independent innovation, precise navigation, and responsible engineering has allowed us to build a portfolio of world-class LiDAR systems that meet the demands of a rapidly evolving world. The CE (Conformité Européenne) certification assures that our LiDAR solutions meet the European Union’s strict safety, health, and environmental protection standards. The RoHS (Restriction of Hazardous Substances) compliance confirms our commitment to environmental responsibility and sustainable product development. These certifications are not only a gateway to European markets—they are a global signal of trust, professionalism, and technical integrity. They are a promise to our partners that GEOSUN’s systems are not only powerful and accurate, but also built for a cleaner, smarter, and more connected future. At GEOSUN, we believe that every scan, every data point, and every breakthrough brings us closer to a future where technology empowers humanity—from unlocking the potential of smart cities to mapping hidden terrains for exploration, emergency response, and infrastructure development. As we continue to cross borders and break barriers, this milestone is a reminder of why we innovate: to bring the power of spatial intelligence to every corner of the globe, with precision, responsibility, and passion.      

GEOSUN’s Partner Conference and GS-100C Launch Ignites Enthusiasm in Wuhan Wuhan HeiTian Hotel recently became the stage for an electrifying event — the GEOSUN Partners Communication Conference (Domestic Markets) and the grand Launch of the GS-100C UAV LiDAR Scanning System. With over 150 partners from across the country in attendance, the energy in the room was nothing short of inspiring. The conference was a celebration of collaboration, innovation, and shared growth. In an atmosphere buzzing with opportunity, more than 20 companies signed cooperation agreements on the spot, signaling their confidence in GEOSUN’s cutting-edge solutions and the mutual success ahead. The star of the event, the GS-100C UAV LiDAR Scanning System, was unveiled to enthusiastic applause. Lightweight, high-precision, and built for real-world performance, the GS-100C captured the imagination of professionals eager for efficient, reliable, and scalable LiDAR technology. This gathering was more than just a product launch — it was a reaffirmation of GEOSUN’s commitment to empowering its partners through innovation and support. From keynote speeches to live demonstrations, every moment reflected the strength of the GEOSUN ecosystem and the passion driving it forward. Together, we’re not just scanning landscapes — we’re shaping the future.

GEOSUN Participates in FIG Commission 1 Workshop to Foster International Surveying Standards From September 16th to 18th, 2020, the FIG Commission 1 Workshop—focused on Professional Standards and Practices of Surveying and Mapping in the Countries along the Belt and Road Routes—was held in Deqing, Zhejiang Province, China. This global event brought together geospatial experts, academics, and industry leaders to promote cooperation and knowledge exchange across diverse surveying communities. As an invited participant, GEOSUN joined fellow professionals in exploring the evolving landscape of surveying and mapping practices, with an emphasis on international collaboration and technical innovation. The workshop offered a valuable platform for dialogue on how emerging technologies, such as LiDAR, GNSS/INS integration, and real-time 3D modeling, are shaping future standards in geospatial data acquisition and analysis. With deep roots in geospatial innovation and a commitment to international cooperation, GEOSUN shared insights on dynamic spatial sensing technologies and their application in infrastructure, urban planning, and autonomous systems. Our presence reflected not only technological capabilities, but also a strong belief in shared progress through open collaboration and knowledge transfer. The event strengthened GEOSUN’s role as a trusted contributor in the global geospatial community, and reaffirmed our dedication to advancing smart surveying solutions that meet the professional standards of a rapidly changing world.    

Geosun Showcases Advanced Aerial Photogrammetry Solutions at Technology Exhibition in Wuhan On May 31, 2018, the Aerial Photogrammetry Technology Exhibition, organized by the Hubei Surveying and Mapping Industry Association, was successfully held in Wuhan Optics Valley—a hub of innovation and high-tech development in central China. Geosun Navigation presented its cutting-edge AGS series airborne LiDAR systems, including the AGS200, AGS210, and AGS300, drawing significant attention from industry experts and professionals in surveying, mapping, and geospatial applications. As a high-tech enterprise rooted in advanced GNSS, INS, and LiDAR integration, Geosun continues to lead the development of aerial surveying technologies with a strong focus on precision, efficiency, and automation. The showcased systems demonstrated real-time high-accuracy 3D data collection capabilities, making them ideal for applications in topographic mapping, urban planning, mining, and environmental monitoring. Geosun’s appearance at the exhibition further reinforced its commitment to independent innovation and its role in advancing the aerial photogrammetry industry through intelligent, high-performance solutions.

In 2020, the first UAV LiDAR Scanning System Training Course was successfully held at Wuhan University, aiming to strengthen technical understanding and promote the practical application of 3D spatial mapping technologies. The training covered core concepts such as UAV LiDAR data acquisition, GNSS/INS integration, point cloud processing, and high-precision 3D modeling workflows. Participants included researchers, engineers, and surveying professionals, creating a collaborative platform for knowledge exchange and skill enhancement. By focusing on real-world applications and hands-on learning, the course helped bridge theory and practice in fields such as topographic mapping, smart infrastructure, and environmental monitoring. This initiative reflects a growing emphasis within the geospatial community on training and knowledge dissemination, recognizing the importance of cultivating technical talent and encouraging wider adoption of next-generation spatial sensing technologies.

GEOSUN Inspires at the 10th China Surveying and Mapping Geographic Information Technology Exhibition in Zhengzhou In the vibrant city of Zhengzhou, the 10th China Surveying and Mapping Geographic Information Technology Exhibition became a meeting point for visionaries, engineers, and innovators across the geospatial industry. Among the many distinguished names, GEOSUN stood out—bringing not only advanced LiDAR and positioning technologies, but also a spirit of exploration and excellence that resonated with attendees. This wasn't just another exhibition for us. It was a platform to connect with the future of mapping, and more importantly, with the people who are shaping it. From academic researchers to field engineers, the dialogue at our booth was filled with curiosity, technical insights, and shared excitement for where geospatial intelligence is heading. GEOSUN’s displays highlighted our core offerings in mobile LiDAR scanning systems, integrated GNSS/INS positioning, and real-time 3D data solutions. But beyond the specs and systems, what captured attention was our unwavering commitment to precision, autonomy, and global accessibility—values that have guided our development from the beginning. The event was also a powerful reminder: every accurate map, every 3D point cloud, and every centimeter-level position is more than data—it’s a piece of the world made visible, understandable, and useful. With each breakthrough, we’re not just building better tools; we’re helping humanity see and shape the world more clearly. GEOSUN is honored to participate in this landmark exhibition, and we look forward to continuing to collaborate, innovate, and inspire in the ever-evolving world of geographic information science.

From October 16th to 18th, 2018, the city of Frankfurt welcomed thousands of professionals, innovators, and decision-makers to INTERGEO, the world’s leading trade fair for geodesy, geoinformation, and land management. Among them, GEOSUN made its third appearance at the event—bringing with it not only powerful technologies, but also a growing voice on the global stage. At the heart of GEOSUN’s exhibit were its independently developed GeoRef series, UAV LiDAR scanning systems, and high-precision GNSS/INS integrated solutions—each representing years of focused research and a deep understanding of the real-world challenges facing the geospatial industry. Built on a foundation of independent intellectual property and cutting-edge integration of global navigation and laser sensing technologies, our solutions attracted wide attention. Visitors from across continents showed strong interest in GEOSUN’s products and engaged in meaningful conversations about future cooperation. Many expressed a desire to explore partnership opportunities, recognizing both the performance of the technology and the potential of long-term collaboration. More than just a showcase, INTERGEO 2018 marked a pivotal step in GEOSUN’s international journey. The exhibition allowed us to strengthen our global presence, refine our brand voice, and build lasting connections with professionals who share our vision for a smarter, more precisely mapped world. As GEOSUN continues to grow and innovate, we remain committed to making geospatial technology more accessible, accurate, and impactful—on a global scale.

From September 26 to 28, the 8th China Surveying and Mapping Geographic Information Technology Equipment Expo was held in Deqing, Zhejiang Province—a national hub for geospatial innovation. The event brought together leading enterprises, professionals, and experts from across the country to explore the latest advancements in geoinformation technology. Geosun Navigation showcased its flagship solutions, including high-precision GNSS/INS receivers and advanced LiDAR systems, which attracted significant attention from industry visitors. The systems were praised for their exceptional performance, integration capabilities, and reliability across various application scenarios such as UAV mapping, smart city infrastructure, and autonomous mobility. With a strong foundation in GNSS, inertial navigation, LiDAR, and SLAM technologies, Geosun continues to empower the surveying and mapping industry with innovative, efficient, and scalable solutions. The brand’s presence at the expo reinforced its commitment to high-performance technology and its growing influence in the global geospatial sector.

GEOSUN at the 6th China LiDAR Conference: Sharing Insight, Showcasing Innovation GEOSUN participated in the 6th China LiDAR Conference, a key annual event bringing together LiDAR experts, researchers, and technology providers to explore the frontiers of 3D sensing and spatial data innovation. At the exhibition, GEOSUN showcased its latest advancements in mobile LiDAR scanning systems, high-precision GNSS/INS solutions, and real-time 3D mapping technologies. The company's technical team engaged in active exchanges with fellow attendees, sharing insights into LiDAR applications across fields such as urban mapping, intelligent transportation, and digital infrastructure. The event offered a valuable platform for discussing challenges and opportunities in the evolving LiDAR ecosystem, highlighting the importance of open collaboration and technical integration. By participating in such industry events, GEOSUN continues to contribute to the growth of LiDAR technology and its expanding role in building smarter, more connected environments.              

Geosun to Showcase Latest LiDAR Innovations at Denver Exhibition Geosun is pleased to announce our participation in the upcoming international exhibition at the Colorado Convention Center in Denver, CO, USA, taking place from February 6–8, 2022. At this highly anticipated event, Geosun will unveil a range of cutting-edge LiDAR scanning solutions, designed to meet the growing demands of geospatial professionals, UAV operators, and smart city developers. Visitors will have the opportunity to explore our latest systems and technological breakthroughs firsthand, interact with our experts, and discuss application-focused solutions for high-precision mapping and navigation. We warmly invite all partners, collaborators, and industry peers to visit our booth and discover how Geosun is driving innovation in mobile LiDAR technology worldwide.