Vehicle Distance Measurement Algorithm Based on Monocular Vision and License Plate Width

In order to avoid the influence of the change of the camera pitch angle and the variation of the height of the ground on the ranging accuracy, improve the real-time performance of the algorithm by substituting the current widely-used monocular vision ranging algorithm which builds the optical model based on the shadow of the vehicle floor and the lane line, as well as avoid the classification of vehicle detection, a vehicle distance measurement algorithm based on monocular vision and license plate width is established. Firstly, the target image acquisition and preprocessing are studied. Then the paper studies the license plate image location segmentation method based on accelerated template matching. On this basis, the algorithm for obtaining the ratio of license plate width to image width is studied, and the function of vehicle distance and license plate ratio width is established. The actual vehicle test shows that the relative average deviation of the algorithm is 0.5% and the standard deviation of 10 repetitive experiments is 0.000216. The accuracy, repeatability and robustness of the algorithm are good.