Study on a robust approach of lane departure warning algrithm

Traffic lane detection technology has attracted increasing attention in field 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 tracking, the region of interest was established with parameters through the Kalman predictor. Then lanes were searched in the region. At last, the lane departure warning 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.