研究目的
To develop a hardware and software-based solution for a 3D LiDAR scanner capable of generating georeferenced point clouds for applications in topographic surveys and structural modeling.
研究成果
The developed LiDAR scanner provides a portable and cost-effective solution for generating accurate georeferenced point clouds, suitable for topographic and structural applications. It achieves centimeter-level accuracy with proper navigation corrections and meets technical requirements, offering an alternative to commercial high-precision systems.
研究不足
The system requires high-precision navigation to minimize errors from inertial sensors; accuracy is affected by dynamic conditions and may not achieve sub-centimeter precision without advanced corrections. Portability is optimized but may have constraints in extreme environments.
1:Experimental Design and Method Selection:
The system integrates a LiDAR sensor, inertial navigation system (INS), and RTK GPS for direct georeferencing. It uses a non-linear interpolation (PCHIP) for oversampling navigation data and models georeferencing as a direct kinematic problem using Denavit-Hartenberg convention.
2:Sample Selection and Data Sources:
Data is captured from the environment using the mobile scanner mounted on platforms like UAVs or land vehicles, with specific tests conducted under favorable climatic conditions.
3:List of Experimental Equipment and Materials:
Includes VLP-16 LiDAR sensor, VN300 inertial sensor, RTKite satellite receptor, Raspberry Pi 3B+ microcomputer, Arduino Nano for power management, and DJI M600 UAV for mounting.
4:Experimental Procedures and Operational Workflow:
Sensors capture data synchronized via PPS signal; data is logged and processed using custom software for post-processing and georeferencing, involving RTK correction and PCHIP interpolation.
5:Data Analysis Methods:
Data is analyzed to generate point clouds, with accuracy validated using GPS RTK and identifiable targets, and density measured in points per square meter.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容