Research on Road Edge Extraction Method Based on Vehicle-borne Laser Scanning Point Cloud Data
In order to extract the road edge from the mobile vehicle-borne laser scanning point cloud data as completely and accurately as possible, an automatic road edge extraction method is proposed according to the distribution characteristics of the road edge in the point cloud scene. Firstly, in order to eliminate the influence of useless points on road edge extraction, an improved point cloud filte-ring algorithm is proposed based on the original progressive morphological filtering algorithm to realize non-ground point filtering, which improves the operation efficiency and accuracy of point cloud filtering; secondly, the ground points are projected onto the two-dimensional image and Line Segment Detector (LSD) algorithm is carried out to obtain the straight line segment of the road edge; fi-nally, the final road edge is extracted by line connection and line feature matching. Two groups of road point cloud data are used to verify the algorithm. The results show that the integrity, accuracy and F-measure of the road edge extraction results of the two groups of experimental data are more than 90％, which verifies the effectiveness and adaptability of this method.
万方数据
维普
