• DocumentCode
    3246689
  • Title

    Convergence analysis of kinematic parameter calibration for a Car-Like Mobile Robot

  • Author

    Yoo, Kwanghyun ; Chung, Woojin

  • Author_Institution
    Sch. of Mech. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    14-17 July 2009
  • Firstpage
    740
  • Lastpage
    745
  • Abstract
    Automated parking assist systems are being commercialized and rapidly spread in the market. In order to improve odometry accuracy, we proposed a practical odometry calibration scheme of Car-Like Mobile Robot (CLMR) in. However, there were some open problems in our prior work. For example, it was not clear whether the kinematic parameters always converged or not using the proposed calibration scheme. In addition, test driving had to be carried out ldquotwicerdquo without detailed explanation. This research aims to provide answers for the addressed questions though the convergence property analysis of the calibration scheme. In this paper, we evaluate on the effect of the kinematic parameter error on the odometry error at the final pose by numerical computation. The evaluation will show that the wheel diameter and tread of the CLMR can be calibrated by iterative test drives. In addition, the region of convergence in the parametric space will be discussed. Presented experimental results clearly showed that the proposed calibration scheme would be useful in practical applications.
  • Keywords
    calibration; convergence; distance measurement; mobile robots; robot kinematics; vehicle dynamics; automated parking assist system; car-like mobile robot; convergence property analysis; iterative test drive; kinematic parameter calibration; odometry calibration; odometry error; Calibration; Convergence; Intelligent robots; Kinematics; Mechanical engineering; Mobile robots; Testing; Tracking loops; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2852-6
  • Type

    conf

  • DOI
    10.1109/AIM.2009.5229924
  • Filename
    5229924