车载激光点云数据精度的提高方法

Discussion on Improving the Vehicular Laser Point Cloud's Data Accuracy

车载LiDAR系统是继机载LiDAR系统后的又一新型测绘方式,在数据采集和处理中有着自身独特的方法。以StreetMapper360系统采集的一段厦门环岛路数据为例,分析了车载LiDAR系统的主要误差来源,随后从激光点云的数据采集、GPS/IMU数据后处理、安装误差角检校与地面控制点调整4个方面讲述了改善车载激光点云数据精度的方法,最后用地面检查点验证了点云成果数据的精度。

Vehicular LiDAR system is another new surveying and mapping method after airborne LiDAR system,which has a specific method of its own in acquiring and processing data.Taking a piece of data of Xiamen Island Ring Road collected with StreetMapper360 system as an example,this paper analyzes the main error sources of vehicular LiDAR system,and expounds the methods for improving the vehicular laser point cloud＇s data accuracy from four aspects of the data collection of laser point cloud,the post-processing of GPS/IMU data,the calibration of installation error angle and the adjustment of ground control points,and validates the accuracy of the point cloud data with ground check points.