Lane Boundary Detection Based on Parabola Model

摘要：

To improve lane detection accuracy under different road conditions for intelligent vehicles, we propose a new kind of lane boundary detection algorithm based on parabola model. The innovation lies in the algorithm is the combination of parabola model of road and the Hough transform. 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 the Hough transform is used. In the path tracking we use mid-to-side strategy to detect the road boundary points, then use parabola model to fit the boundaries of the road. After testing, we can see that this algorithm has high efficiency and resistance to interference.

关键词： Lane detection Hough Transform Image process

作者: Jianfeng Wang Fangde Gu Chao Zhang Guanzhe Zhang

作者单位: Department of Automobile Engineering Harbin Institute of Technology ( WeiHai)WeiHai,Shandong Provinc Department of Automobile Engineering Harbin Institute of Technology (WeiHai)WeiHai,Shandong Province

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）