Title :
Research on the machine vision system for vehicle four-wheel alignment parameters
Author :
Li Wenhao ; Gao Yan ; Zhang Rong
Author_Institution :
Autom. Dept., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper studied the way to measure the vehicle four-wheel alignment parameters according to the theory of machine vision. A new method of obtaining the direction vector of wheel axle was proposed, and the datum pane was established to optimize the mathematical model of four-wheel alignment parameters measurement. The experiments show that this system can gives good performance with sharp image acquisition, high ellipse detection accuracy, and high speed of alignment parameter calculation.
Keywords :
automotive engineering; axles; computer vision; measurement; mechanical engineering computing; wheels; alignment parameter calculation; datum pane; ellipse detection accuracy; image acquisition; machine vision system; vehicle four-wheel alignment parameter; wheel axle direction vector; Axles; Calibration; Cameras; Lenses; Machine vision; Vehicles; Wheels; Alignment Parameters; Ellipse Detection; Machine Vision;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768