摘要
选取城市道路与高速公路连接段作为试验对象,采用三维激光扫描车配备全景相机获取道路信息,实现以车载点云数据为底图,结合全景像片半自动化提取点、线、面等道路专题要素的矢量数据,利用倾斜摄影测量技术对收费站、服务区等局部区域建立三维模型并获取矢量数据。将多种测量技术手段获取的车道矢量数据拼接融合,实现高精道路地图的构建。试验结果表明,多种测量技术手段充分发挥各自测量优势,可高效构建高精道路地图,满足高精车道地图静态数据L3级别的测量精度要求。
This paper selects the connection section between urban roads and expressways as the experimental object,uses a 3D laser scanning vehicle equipped with a panoramic camera to obtain road information,realizes taking the vehicle point cloud data as the base map,combines the vector data of road thematic elements such as points,lines,and surfaces extracted semi-automatically from panoramic photos,and uses the oblique photogrammetric technology to establish a 3D model of local areas including toll stations,service areas,and obtain vector data.The road lane vector data obtained by various measurement techniques are registered and fused to achieve the construction of high-definition road map.The test results show that various measurement techniques can give full play to their respective measurement advantages,and can efficiently build high-definition road maps,meeting the measurement accuracy requirements of L3 level of high-definition raod lane map static data.
作者
王若禹
WANG Ruoyu(China Coal Aerial Survey and Remote Sensing Group,Co.,Ltd.,Xi'an 710000,China)
出处
《测绘与空间地理信息》
2024年第10期216-218,共3页
Geomatics & Spatial Information Technology
关键词
车载LiDAR
全景像片
倾斜摄影测量
高精道路地图
vehicle-borne LiDAR
panoramic images
oblique photogrammetry
high-definition road maps
