Lane Detection Based on Random Hough Transform on Region of Interesting

摘要：

In order to improve computational speed of the lane detection, we proposes a new road edge algorithm. The innovation of this algorithm is that it combined with ideas region of interesting (ROI) and random Hough transform (RHT). In this paper we proposed some constraints on the road model, making the algorithm with a high anti-interference performance. The algorithm consists of the initial road edge detection and the follow-up tracking of road borders. In the initial edge detection we used the Hough transform; in the path tracking we used RHT on the ROI to improve computing speed.

关键词： lane detection region of interesting random Hough transform image process

作者: Jianfeng Wang Ye Wu Zehua Liang Yuanjun Xi

作者单位: Department of Automobile Engineering Harbin Institute of Technology (WeiHai)WeiHai,Shandong Province CH-AUTO Technology Corporation LTD.Beijing,China

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-6

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）