• DocumentCode
    146327
  • Title

    EKF localization with variable covariance for LRS and odometry: Experimental verification

  • Author

    Hiromachi, Yutaro ; Nonaka, Koji ; Sekiguchi, Kazuma

  • Author_Institution
    Fac. of Eng., Tokyo City Univ., Tokyo, Japan
  • fYear
    2014
  • fDate
    14-16 March 2014
  • Firstpage
    231
  • Lastpage
    236
  • Abstract
    In our previous report on an integrated localization using laser range scanners (LRS) and odometry, a variable covariance depending on the number of data, predicted incident angle, and predicted distance of LRS is introduced to EKF to deal with their effects on the localization. In the present paper, this method is applied to a front steering vehicle navigated by the LRS localization and odometry data. Its experimental results show that the proposed method localize the vehicle position and the outlier of LRS data is properly vanished.
  • Keywords
    Kalman filters; distance measurement; mobile robots; nonlinear filters; optical scanners; EKF localization; LRS localization; autonomous vehicles; extended Kalman filter; front steering vehicle; laser range scanners; odometry data; variable covariance; vehicle position; Accuracy; Measurement by laser beam; Position measurement; Robustness; Vehicles; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Motion Control (AMC),2014 IEEE 13th International Workshop on
  • Conference_Location
    Yokohama
  • Type

    conf

  • DOI
    10.1109/AMC.2014.6823287
  • Filename
    6823287