摘要
利用车载激光雷达技术,能够快速获取城市轨道交通周边环境的海量三维激光点云和数字影像数据,是解决地貌、地物复杂地区测绘难题的有效手段。基于激光点云数据,将其坐标进行转换及投影变换,统一到城市轨道交通坐标基准下,并与传统测量方式(如RTK、全站仪等)进行精度对比。结果表明,利用车载激光雷达技术获取的不同测区、不同时段的测量成果间无明显系统误差,其内符合精度较好,可以满足实际生产的需求;三维激光点云数据的平面坐标精度优于50 mm,高程精度优于60 mm,能够满足城市轨道交通勘测的精度要求。与传统测量方式相比,车载激光雷达技术的勘测效率是传统测量手段的十几倍,且可大幅度降低外业测量安全风险。
The vehicle-mounted LiDAR technology can quickly obtain massive 3D laser point cloud and digital image data of the surrounding environment of urban rail transit,which is an effective method to solve the mapping of complex geomorphic features.Based on the laser point cloud data,the coordinates of laser point cloud data are converted and projected into urban rail transit coordinates,and the precision of laser point cloud data is compared with traditional measurement methods(such as RTK and total station).The results show that there is no obvious systematic error between the measurement results obtained by using vehiclemounted LiDAR technology in different test areas and different time periods.The accuracy of its internal coincidence is better,which can meet requirements of actual production.The plane coordinate precision of 3D laser point cloud data is better than 50 mm and the elevation precision is better than 60 mm,which meet precision requirements of urban rail transit survey.Compared with traditional measurement methods,the vehicle-mounted LiDAR technology is more than ten times that of traditional methods in terms of surveying efficiency and could reduce the safety risk of field measurement greatly.
作者
牟春霖
Mu Chunlin(China Railway Design Corporation,Tianjin 300251,China)
出处
《铁道勘察》
2020年第6期44-49,共6页
Railway Investigation and Surveying
基金
中国铁路设计集团有限公司重大科研课题(721507)。
关键词
车载激光雷达技术
激光点云
坐标转换
城市轨道交通勘测
vehicle-mounted LiDAR technology
laser point cloud
coordinate transformation
urban rail transit survey
