为提高高精度道路地图的制作效率,提出采用融合多源数据的方式构建高精度地图.根据道路特征及类型,选用车载激光雷达(Light Detection and Ranging,LiDAR)、无人机摄影测量以及人工采集3种技术获取数据源,分别进行点云、图像以及矢量数据处理,构建高精度道路地图并进行精度评定.试验结果表明,多源数据可实现不同道路场景下的数据采集,为高精度地图快速构建和更新提供参考.
Construction of High-Definition Road Maps Integrating Multi-Source Data
In order to improve the production efficiency of high-definition road maps,this paper proposes to con-struct high-definition maps by the method of integrating multi-source data.According to the characteristics and types of roads,this paper selects three technologies:vehicle-mounted light detection and ranging(LiDAR),UAV photogrammetry and manual collection,to obtain data sources,and processes point cloud,image and vector data respectively to construct high-definition road maps and evaluate accuracy.The experimental results show that multi-source data can realize the data collection in different road scenarios,which provides a reference for the rapid construction and update of high-definition maps.
High-definition mapVehicle-mounted light detection and rangingUnmanned aerial vehicleAc-curacy assessment
NETL
NSTL
万方数据
维普
