| With the development of the rapid transit on freeway in our country, traffic safety, as a more and more important problem, is attracting the universal attention of the society and the government. And the development of intelligent transportation system (ITS) and intelligent vehicle (IV) is one effective measure to solve the traffic safety problem of our country, thus various research has been done on Vehicle Intelligent Auxiliary Drive System and Automatic Drive System, of them one of key problems is how to obtain the dynamic distance between two vehicles. This paper presents a new method of distance between two vehicles based on computer vision. It adopts monocular CCD vidicon as input device, and processes the input image by computer, then gains the lane width of the location of the front vehicle on this lane, finally calculates the distance according to the model on distance between two vehicles.First of all, via comparing several familiar measure methods, this paper supplies a measure technique of monocular image analysis, which includes lane detection and obstacle detection. And then the paper sets up the model on distance between two vehicles. In the end, the result and analysis of the system processing is given, and the system is estimated in three aspects, further some improvements are advanced. |