Based on Digital Image Lane Edge Detection and Tracking under Structure Environment for Autonomous Vehicle

摘要：

Preprocess the lane gray image to obtain binary image by using median filtering, Sobel edge detection operator and image segmentation algorithm based on maximum entropy. Propose an improved Hough transformation algorithm to obtain the feature parameter of the road edge in the binary image. Establish the area of interest (AOI) of the road edge, according to the prediction result of the Kalman filtering; adjust the size of AOI dynamically in order to track the road edge accurately. Experiments show that this algorithm is reliable and effective.

关键词： Digital image Lane edge detection Kalman filter AOI

作者: You Feng Wang Rong-ben Zhang Rong-hui

作者单位: Department of Traffic College South China University of Technology Guangzhou, Guangdong Province, Ch Department of Transportation College Jilin University Changchun, Jilin Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）