• DocumentCode
    114764
  • Title

    Projection homography based uncalibrated visual servoing of wheeled mobile robots

  • Author

    Baoquan Li ; Yongchun Fang ; Xuebo Zhang

  • Author_Institution
    Tianjin Key Lab. of Intell. Robot., Nankai Univ., Tianjin, China
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    2167
  • Lastpage
    2172
  • Abstract
    In this paper, a novel visual servo regulation strategy, which is based on the projection homography matrix, is presented for a wheeled mobile robot in the presence of unknown camera intrinsic parameters. Specifically, the derivation of the projection homography matrix is described and then estimated without being restricted by the scale factor. Subsequently, to deal with the unknown depth information and unknown camera intrinsic parameters, an adaptive controller is carefully developed by utilizing the entities of the projection homography matrix to drive the mobile robot to the desired position. Using Lyapunov techniques, rigorous stability analysis is conducted. Afterwards, a controller for the angular velocity is further designed to regulate the orientation error of the mobile robot. The proposed method does not need any complex pose estimation algorithms, and it thus avoids the confusion made by the two solutions provided by homography decomposition methods. The performance of the proposed uncalibrated visual servoing strategy is further validated by simulation results.
  • Keywords
    Lyapunov methods; adaptive control; angular velocity control; mobile robots; robot vision; stability; visual servoing; Lyapunov techniques; adaptive controller; angular velocity controller; projection homography matrix; rigorous stability; uncalibrated visual servoing; visual servo regulation strategy; wheeled mobile robots; Cameras; Estimation; Mobile robots; Visual servoing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039719
  • Filename
    7039719