Study on a Robust Approach of Lane departure Warning Algrithm
Traffic lane detection technology has attracted increasing attention in fiejd of autonomous driving. After analyzing the characteristic of the images of the traffic lane, a robust approach was studied based on lane recognition. The adaptive threshold based on Otsu algorithm was used for different illumination demands during image preprocessing. Lanes were then detected by Hough Transformation. In lane traclong, the region of interest was established with parameters through the Kalman predictor. Then lanes were searched in the region. At last, the lane departure wanrning module was added to the algorithm according to the distance between the vehicle and the lane. Experiment results indicate that the algorithm has good robustness and efficiency.
Lane detection arrd tracking Otsu algorithm Hough transformation Kalman predictor Lane departure warning
Houjie Xu Huifang Li
School of Electronics and Information Northwestem Polytechnical University Xian,China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1041-1044
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）