• DocumentCode
    2689342
  • Title

    An efficient solution to 6DOF localization using Unscented Kalman Filter for planetary rovers

  • Author

    Sakai, Atsushi ; Tamura, Yuya ; Kuroda, Yoji

  • Author_Institution
    Dept. of Mech. Eng., Meiji Univ., Kanagawa, Japan
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    4154
  • Lastpage
    4159
  • Abstract
    In this paper, we propose an efficient solution to 6 degrees of freedom (6DOF) localization using unscented Kalman filter for planetary rovers. The solution is a technique augmented the unscented Kalman filter for accurate 6DOF localization, named augmented unscented Kalman filter (AUKF). The AUKF is designed to deal with problems which occur on other planets: wheel slip, visual odometry error, and gyro drift. To solve the problems, the AUKF estimates the slippage ratio in an augmented state vector, the accuracy of the visual odometry with the number of inliers among feature points, and sensor usefulness with gyrodometry model. Experimental results of rover runs over rough terrain are presented, the effectiveness of the AUKF and its each component is shown.
  • Keywords
    Kalman filters; mobile robots; path planning; planetary rovers; 6DOF localization; augmented unscented Kalman filter; gyro drift; gyrodometry model; planetary rovers; visual odometry error; wheel slip; Aerospace testing; Cameras; Jacobian matrices; Navigation; Particle filters; Planets; Rough surfaces; State estimation; Wheels; Working environment noise; 6DOF localization; Unscented Kalman filter; planetary rover; slippage ratio estimation; visual odometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354677
  • Filename
    5354677