Localization algorithm for 3D four-wheel alignment based on monocular vision
Year: 2025
Type: article
Abstract: A localization algorithm for a four-wheel alignment is proposed. According to the principle of monocular reconstruction in computer vision, the representation of equivalent reference plane for each wheel in its corresponding camera coordinate system is calculated out. Based on these new definitions, related angle parameters of the vehicle wheel are finally determined. Simulations and analysis show the feasibility and robustness of our algorithm described in this paper. Experiment results show that the proposed algorithm can obtain precise results and the root mean square error is about 0.005 degrees. Compared with the existing 3D four-wheel localization algorithm, the proposed algorithm doesn’t need global coordinate system calibration, so the operation is simple. Moreover, as the wheel measurement is relatively independent, it is not easy to cause error accumulation.
Source: Engineering Research Express
Authors: Mingwei Shao, Jianjun Chen
Institution: Qingdao University of Technology
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G8130302618
OpenAlex ID: W4409913337