Multi-sensor Fusion
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手持激光雷达即可在线实时重建点云!超高性价比3D扫描仪来了~
自动驾驶之心· 2025-10-23 00:04
Core Viewpoint - The article introduces the GeoScan S1, a highly cost-effective 3D laser scanner designed for industrial and research applications, emphasizing its lightweight design, ease of use, and advanced features for real-time 3D scene reconstruction. Group 1: Product Features - The GeoScan S1 offers centimeter-level precision in 3D scene reconstruction using a multi-modal sensor fusion algorithm, capable of generating point clouds at a rate of 200,000 points per second and covering distances up to 70 meters [1][29]. - It supports scanning areas exceeding 200,000 square meters and can be equipped with a 3D Gaussian data collection module for high-fidelity scene restoration [1][30]. - The device is designed for easy operation with a one-button start feature, allowing users to export scan results without complex setups [5][27]. Group 2: Technical Specifications - The GeoScan S1 integrates various sensors, including RTK, IMU, and dual wide-angle cameras, and features a compact design with dimensions of 14.2cm x 9.5cm x 45cm and a weight of 1.3kg (without battery) [22][12]. - It operates on a power input of 13.8V - 24V with a power consumption of 25W, and has a battery capacity of 88.8Wh, providing approximately 3 to 4 hours of operational time [22][26]. - The system runs on Ubuntu 20.04 and supports various data export formats, including PCD and LAS [22][42]. Group 3: Market Positioning - The GeoScan S1 is positioned as the most cost-effective handheld 3D laser scanner in the market, with a starting price of 19,800 yuan for the basic version [9][57]. - The product is backed by extensive research and validation from teams at Tongji University and Northwestern Polytechnical University, having been tested in over a hundred projects [9][38]. - The scanner is suitable for a wide range of applications, including urban planning, infrastructure monitoring, and complex scene mapping in various environments such as industrial parks and tunnels [46][52].
高精厘米级重建!点云/视觉全场景重建,超高性价比3D扫描仪~
自动驾驶之心· 2025-08-05 23:32
Core Viewpoint - The article introduces the GeoScan S1, a highly cost-effective 3D laser scanner designed for industrial and educational applications, emphasizing its lightweight design, ease of use, and advanced features for real-time 3D scene reconstruction. Group 1: Product Features - GeoScan S1 offers centimeter-level precision in 3D scene reconstruction using a multi-modal sensor fusion algorithm, capable of generating point clouds at a rate of 200,000 points per second and measuring distances up to 70 meters [1][27]. - The device supports scanning areas exceeding 200,000 square meters and features a 360° coverage for large scene scanning [1][28]. - It includes a built-in Ubuntu system and various sensor devices, with a handheld design that integrates power supply for radar, cameras, and control boards [3][10]. Group 2: User Experience - The scanner is designed for low entry barriers, allowing users to start scanning with a single button press and export results without complex setups [5][25]. - It features real-time modeling and high-precision mapping capabilities, producing color-rich point cloud data through advanced SLAM algorithms [25][32]. - The device is lightweight, weighing 1.3 kg without the battery and 1.9 kg with it, and has a battery life of approximately 3 to 4 hours [20]. Group 3: Market Positioning - The GeoScan S1 is positioned as the most cost-effective handheld 3D laser scanner in the market, with a starting price of 19,800 yuan [7][56]. - The product is available in multiple versions, including a basic version, a depth camera version, and online/offline 3DGS versions, catering to various user needs [56]. Group 4: Application Scenarios - The scanner is suitable for a wide range of environments, including office buildings, parking lots, industrial parks, tunnels, forests, and mines, effectively completing 3D scene mapping [36][45]. - It supports cross-platform integration, making it compatible with drones, unmanned vehicles, and robotic systems for automated operations [42].