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

2019-01-0882

04/02/2019

Event
WCX SAE World Congress Experience
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-0882
Pages
7
Citation
Zhong, J., Chen, X., Peng, Y., and Li, Y., "Vehicle Distance Measurement Algorithm Based on Monocular Vision and License Plate Width," SAE Technical Paper 2019-01-0882, 2019, https://doi.org/10.4271/2019-01-0882.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-0882
Content Type
Technical Paper
Language
English