Study on lane mark identification algorithm based on heuristic search.
Xu Youchun · Computer Engineering and Applications Journal · 2007
Extracting the lane edge point is the key technology for lane marks identification.The method in common use often produces many noise points for lacking of restraint ability to noise.In that way it will bring departure during the lane boundary matching process and the identification result is bad.In this paper the tracking algorithm based on heuristic search is proposed.The starting point is positioned according to the trapezia matching model,gray change property of lane markings and the restraint of real lane width.Then we search the lane edge point from the start point with the tolerance cost rule function.The lane boundary is matched by Hough transform with linear model.Experimental results prove that the algorithm is robust and can fulfill the real time requirement of road identification.