• DocumentCode
    1734742
  • Title

    Rejection of illuminance for trajectory control using Kalman filter

  • Author

    Hidaka, Koichi ; Takayama, Shintaro

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Tokyo Denki Univ., Tokyo, Japan
  • fYear
    2011
  • Firstpage
    730
  • Lastpage
    735
  • Abstract
    This paper introduces a robust recognition for mobile robot by using Kalman filter. A novel disturbance rejection method by using Kalman filter is introduced. The covariant matrix of proposed Kalman gain varies to environment. The covariant matrix of Kalman gain has to change depending on the conditions of disturbance or brightness variation. Because these signals are usually unknown, this covariant value is assumed constant, however. Therefore, enough accuracy of rejection is not obtained by this method. We propose a time-varying Kalman gain based on template and show the validity of our method for path recognition of mobile robot under changes in illumination.
  • Keywords
    Kalman filters; covariance matrices; mobile robots; position control; time-varying systems; Kalman filter; covariant matrix; mobile robot; novel disturbance rejection method; robust recognition; time-varying Kalman gain; trajectory control; Brightness; Cameras; Covariance matrix; Image color analysis; Kalman filters; Mobile robots; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2011 IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    978-1-4577-1062-9
  • Electronic_ISBN
    978-1-4577-1061-2
  • Type

    conf

  • DOI
    10.1109/CCA.2011.6044367
  • Filename
    6044367