车载LiDAR点云数据在线路工程道路边界提取中的应用

Application of vehicle borne LiDAR point cloud data in road boundary extraction in line engineering

传统线路工程测量采用全站仪或全球导航卫星系统(GNSS)逐点获取相关道路点位,再绘制相应的线路测绘成果,工程效率相对较低,无法获得整个路面及附属设施的相关信息,细节表现相对较差,且一次测绘后无法再加工获得多样化成果。为解决上述问题,本文提出一种应用于线路工程测量道路边界的自动提取方法,利用高精度车载激光雷达(LiDAR)进行道路扫描,一次性获取整条道路高精度三维点云数据,并采用试验区进行试验和精度评定。结果表明,基于车载LiDAR点云数据的道路边界提取方法可满足线路工程测绘的精度要求,极大地提高了传统线路工程测绘的作业效率,可为点云地物提取及传统线路工程测量、竣工测量等提供参考。

The traditional line engineering survey uses total station or GNSS to obtain the relevant road points one by one,and creates the corresponding line mapping results.Therefore,its efficiency is relatively low,and cannot obtain the relevant information of the road surface and ancillary facilities.Moreover,the detail performance is relatively poor,and it is impossible to achieve a diversified result after mapping and subsequent processing.For the reasons above,this paper proposes an automatic extraction method for road boundary measurement in line engineering,it uses high precision vehicle borne LiDAR for road scanning to obtain 3D high precision point cloud data of the whole road at one time,and uses the test area to conduct testing and accuracy assessment.The results show that the road boundary extraction method based on vehicle borne LiDAR point cloud data meets the accuracy requirements of line engineering surveying and mapping,it can greatly improve the efficiency of traditional line engineering surveying and mapping,and provides a certain reference for point cloud ground objects extraction,traditional line engineering surveying and acceptance surveying.