车速对车载激光点云精度的影响分析
Analysis of the Influence of Vehicle Speed on Vehicle Laser Point Cloud Accuracy

车载三维激光扫描系统作为一个多传感器集成的新兴测绘设备，被广泛应用在公路改扩建、城市信息化等项目中。在工程实践方面，点云的精度是影响成果质量的关键所在，本文从数据采集效率和成本核算出发，以传统高精度测绘手段获取的标靶点三维坐标作为真值，与点云数据中的同名特征点进行分析，针对不同车速状况下车载激光扫描系统获取的点云数据进行了精度评价。从统计结果看，Trimble MX2车载三维激光扫描系统的平面误差在±0.10 m左右和高程在±0.06 m左右，车速对点云精度影响较小，不同车速点云精度略有不同，但基本能够满足中小比例尺城市道路测量及城市部件普查工作的基本要求。
The vehicle-mounted 3D laser scanning system, as an emerging multi-sensor integrated surveying and mapping equipment, is widely used in projects such as highway reconstruction and expansion, urban informatization, etc. In terms of engineering practice, the accuracy of point clouds is the key factor affecting the quality of results. Starting from the efficiency of data collection and cost ac-counting, this article takes the three-dimensional coordinates of the target point obtained by tradi-tional high-precision surveying methods as the true value, analyzes the same-named feature points in point cloud data, and evaluates the accuracy of point cloud data obtained by the vehicle-mounted laser scanning system under different vehicle speed conditions. From the statistical results, it can be seen that the planar error of the Trimble MX2 vehicle-mounted 3D laser scanning system is around ±0.10 m and the elevation is around ±0.06 m. The influence of vehicle speed on point cloud accuracy is relatively small, and the accuracy of point clouds varies slightly with different vehicle speeds. However, it can basically meet the basic requirements of small and medium-sized urban road measurement and urban component survey work.