摘要
对移动车载激光测量LandMark系统获取的路面激光点云数据进行研究,结合激光点云的回波反射率、扫描角,以及量测距离等特征信息与道路标线的属性信息,提出了一种基于车载激光点云的道路标线自动识别与提取算法。从点云中提取道路标线,采用最小二乘线性最优拟合算法对提取的标线点云进行拟合,生成道路标线的CAD轮廓线,实现道路标线的自动化识别。以移动车载LandMark系统的Sick激光扫描仪获取的路面激光点云为例进行实验,实验结果表明该方法的可行性和有效性。
The research focuses on LiDAR point clouds of road surface acquired from vehicle - borne mobile mapping system - Land- Mark. An automatic road marking detection and extraction method is proposed. Combining LiDAR features of retro, angle and distance with the properties of traffic marking, point clouds of road marking is extracted. The road marking is best fitted in a least squares poly- nomial fitting method and CAD map is generated for automatic detection. Based on the experimental data from Sick laser scanner mounted on LandMark system, the experimental results show the method is feasible and available.
出处
《测绘与空间地理信息》
2012年第9期5-8,共4页
Geomatics & Spatial Information Technology
