The development and application of intelligent vehicle has become the focus with the hightech era coming. At present, domestic and foreign intelligence vehicle path information acquisition and control systems typically use magnetic navigation sensors to get the path information, but usually occur path locations during capture hopping phenomenon which can not precisely calculate the actual distance traveled. This design of intelligent vehicle path information in the path information acquisition and control system analysis process using threshold segmentation algorithm optimization, a better solution to the problem location step, to achieve a continuous path recognition ordinary camera, makes the smart car reality applications possible. Through a large number of experimental test results show that the of intelligent vehicle system can quickly track smoothly on the track with the black guide lines, it has strong stability and anti-jamming capability.