• DocumentCode
    1733375
  • Title

    An Approach to Measuring Vehicle Four-Wheel Alignment Parameters Based on Computer Vision

  • Author

    Dechao, Wang ; Yaqing, Tu

  • Author_Institution
    Logistical Eng. Univ., Chongqing
  • fYear
    2007
  • Firstpage
    33298
  • Lastpage
    34394
  • Abstract
    Due to traditional four-wheel alignment measurement techniques have such problems as need for many sensors, complicated calibration, fussy operation, low speed of inspection and low accuracy etc. Based on computer vision, the mathematical model for vehicle four-wheel alignment is set up. By taking sequence images of the target board fixed on the wheel in motion and calculating homography matrices between the target board and its images and rotation matrices, the directional cosine of rotation axis is obtained and further more the wheel alignment parameters are solved. Finally, the effectiveness of the mathematical model is verified by experiment.
  • Keywords
    computer vision; image sequences; mechanical engineering computing; wheels; computer vision; four-wheel alignment measurement techniques; homography matrices; rotation axis; rotation matrices; sequence images; vehicle four-wheel alignment; Automotive engineering; Cameras; Computer vision; Inspection; Instruments; Mathematical model; Matrix decomposition; Vehicle safety; Velocity measurement; Wheels; computer vision; four-wheel alignment; homography matrix; mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4351065
  • Filename
    4351065