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

Format:

Book

Conference/Event

Author/Creator:

Zhong, Zhong, author.

Contributor:

Chen, Xinbo

Li, Yan

Peng, Yibing

Conference Name:

WCX SAE World Congress Experience (2019-04-09 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2019

Summary:

AbstractIn 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

Notes:

Vendor supplied data

Publisher Number:

2019-01-0882

Access Restriction:

Restricted for use by site license