Lane Detection Using Inversion Transform

摘要：

　　Vision based lane detection is an essential task in both autonomous land vehicles research and active safety system devdopment.The straight lines in the image are always corresponding to the lanes to be detected,especially in the near front of the vehicle.Thus Hough transform is employed to extract lanes form the edge map of the road scenes,plenty of linear structure staffs,however,may appear in the scene,therefore spurious peaks in the Hough space may exist which will lead to a incorrect detection.In this paper,we proposes a inversion transform based lane detection method,which first maps those distractive lines in the image into circles,while remains the linearity of the lanes to be extracted; then an improved parallel Hough transform is followed to detect these lanes.Experimental results illustrates that the presented method are both efficient and robust in lane detection.

关键词： Lane detection Inversion transform Active safety

作者: JIAN LI XIANG-JING AN ER-KE SHANG HAN-GEN HE

作者单位: Institute of Automation, National University of Defense Techonology, Changsha 410073, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 109-114

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）