Research On Lane Detection Algorithm For Intelligent Vehicles Vision Navigation System

Vision navigation is the key technique of intelligent vehicle guidance, this paper researches the algorithm of lane detection for intelligent vehicles vision navigation system based image process.In the paper, research background, meaning and current status of vision navigation is firstly introduced, and currently algorithm of image process is analyzed; secondly, new algorithm for lane detection is presented, real road image can be divided into road region and non-road region based line region growing, for lane detection with multiple driveways, lane markings are renewed with method similar to road image segmentation based lane marks edge, marking line can be detected based lane marking shape, finally it applies linear data fitting to find lane markings. It can figure out the way stretching correctly and give warning of vehicle-deviation under the complicated lane conditions.The algorithm proposed by the paper are used to process 200 actual lane image, thus obtaining right rate close to 81.2%, simulated results show that the algorithm is right and effective.