Automatic Road Extraction from Mobile Laser Scanning Data
Extraction of road surface and boundary is essential for autonomous vehicle navigation,road monitoring and important scene structures extraction.Mobile laser scanning (MLS) technology as a new information acquiring manner can quickly scan the whole scene and provide density and accurate 3D coordinate data and other information such as trajectory,color and reflectance.In this paper an automatic road extraction method is proposed based on trajectory information from mobile laser scanning data.Through the trajectory,location and approximated direction of local road patch could be determined.Searching algorithm is applied along the approximated road direction and the orthogonal direction.To determine the road boundary,a hypothesis testing method based on local altitude variance is used.To filter false boundary points,local altitude mean value is applied.Experiment results demonstrate the reliability of the proposed algorithm for automatic road surface and boundary extraction.
mobile laser scanning (MLS) road extraction trajectory
Hanyun Wang Zhipeng Cai Huan Luo Cheng Wang Peng Li Wentao Yang Suoping Ren Jonathan Li
School of Electronic Science and Engineering, National University of Defense Technology, Changsha, C Department of Computer Science, School of Information Science and Technology, Xiamen University, Xia Department of Computer Science, School of Information Science and Technology, Xiamen University, Xia
国际会议
厦门
英文
1-4
2012-12-16（万方平台首次上网日期，不代表论文的发表时间）