A Study of Vision-Based Lane Recognition Algorithm for Driver Assistance

摘要：

　　In this paper, a real-time lane detection algorithm based on vision is presented.This algorithm improves the robustness and real-time of processing by combining with the dynamic region of interest (ROI) and the prior knowledge.When the lanes detected from previous frames have little changes for several frames, we recognize the lane only in dynamic ROI.We also proposed an erosion operator to refine the edge and a Hough transform with a restrict search space to detect lines with a faster rate.Experiments in structured road showed that the proposed lane detection method can work robustly in real time, and can achieve a speed of 30ms/frame for 720x480 image size.

关键词： Lane detection Machine vision Intelligent vehicles Driving assistance

作者: Feng Ran Zhoulong Jiang Tao Wang Meihua Xu

作者单位: Microelectronic Research and Development Center, Shanghai University, Shanghai,China School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, China

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 445-452

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）