摘要
交通标识线作为道路上重要的交通标识,为道路行驶提供引导信息。本文提出一种结合城区道路结构特征及点云强度信息的车载LiDAR道路标识线提取方法。首先,采用CSF滤波滤除非地面点,RanSac算法特征匹配检测道路边界并提取路面点。其次,结合点云回波强度信息提取标识线,构建数据格网,并通过密度阈值去除噪点对数据进行优化。最后,试验选取某城区两段道路数据进行试验分析,有效提取了道路标识线,验证了方法的可行性。
As an important traffic signs on the road,traffic marking lines provide guidance information for drivers.In this paper,a vehicle-borne LiDAR road marking line extraction method based on urban road structure characteristics and point cloud intensity information is proposed.CSF filter is used to remove non-road points,and RANSAC algorithm is employed to detect road boundary and extract road points based on feature matching.In combination with the reflectivity intensity information of point cloud to extract the marking line,the data grid is constructed to optimize the data by removing noise points using density threshold.Finally,two sections of urban road data are selected for experimental analysis,and road marking lines are extracted effectively to verify the feasibility of the method.
作者
杨振
鲁欣宇
武永斌
苗沛基
房旭
YANG Zhen;LU Xinyu;WU Yongbin;MIAO Peiji;FANG Xu(He'nan University of Technology,Key Laboratory of Mine Space Information Technology,Ministry of Natural Resources,Jiaozuo 454003,China;He'nan Institute of Remote Sensing Surveying and Mapping,Zhengzhou 450003,China)
出处
《测绘与空间地理信息》
2020年第11期194-197,共4页
Geomatics & Spatial Information Technology
