基于拓扑关系的激光点云数据路沿线提取方法

Curb Extraction from Laser Scanning Data Based on Topological Relations

对车载移动测量系统获取的激光点云数据进行研究,提出基于拓扑关系的激光点云数据路沿线提取方法。该方法根据车载移动测量系统获取的原始点云数据构建拓扑关系,基于该拓扑关系能够直接从点云数据中快速提取路沿线信息,实现路沿线的自动化提取。以车载移动测量系统获取的道路激光点云数据为例进行试验,试验结果表明该方法具有可行性和有效性,对点云数据的要素自动提取有助于推动基于激光点云数据的快速成图等技术的发展。

Research on laser point cloud data acquired by vehicle mobile measurement system,a method based on topological relation for extracting laser point cloud data along the route is put forward.The method constructs topological relations based on the original point cloud data acquired by vehicle borne mobile measurement system,and extracts the information along the route quickly from point cloud data,and achieves automatic extraction.We take the road laser point cloud data obtained from vehicle mobile measurement system as an example.This proves that the proposed algorithm not only has high accuracy,but also has strong robustness to extract curb point cloud with regular or irregular shape from complex urban street scenes of vehicle-borne laser scanning data.It has reference significance for automatic extraction of point cloud data elements,and helps to promote the rapid development of technology based on laser point cloud data.