MATLAB-Based Single-Vision Technology Vehicles Ranging Study

Intelligent Transportation System has been a transportation development trend, which intelligent vehicle technologies closely watched. It combines vehicle engineering, automatic control, electronic communication, computer vision, and other professionals. Over the years, researchers devote their energy to improve traffic safety and comfort. A lot of theoretical or practical technologies have been worked out during exploring. This text considers the single vision ranging. And improve the technology on the theories and practices on digital image processing.In the course of image processing, comparing and re-analysis were necessary. Basing on prior knowledge the capture images were zoomed and separated by appropriate theories. With gray-scale transformation, image basic computing and mathematical morphology operation, the images got pretreatment. Then selected iterative-threshold, mathematical morphology method do image segmentation and got the vehicle image. As following, it marked at divided region, accessed to feature information for detecting and locating vehicle images by using pattern recognition, which belong the necessary range parameters. In the practice processing, the MATLAB7.0 platform was introduced, which include a professional image processing toolbox IPI function to improve the quality and efficiency of image processing. At the same time, the mathematical model ranging while obtained by the theory of reverse perspective was compiled as simple MATLAB programming language .So that the ranging process was more rapid and more accurate. Through the actual road experiment verification, this methods and technologies have some practical value, which provide important reference on visual information processing of modern intelligent vehicle.