Based on Hough transform and improved particle filter algorithm for lane detection and tracking

Detection and tracking of lanes is essential for driving safety and intelligent vehicle,for the problems of previous algorithms in terms of robustness and accuracy,the algorithm for lane tracking based on Hough transform and particle filter are surveyed,first, the edges of lane are detected through the image preprocessing and Hough transform,particle filter initialize information to track the road based on edge detection. Experimental results show that the algorithm can be applied to common shapes and conditions of roads.