• DocumentCode
    550634
  • 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
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    3192
  • Lastpage
    3195
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000973