• DocumentCode
    1855954
  • Title

    Basic localization alogrithm using cubature Kalman filter based on encoder and laser

  • Author

    Pengfei Li ; Jingxiong Huang ; Mingjie Wan ; Shijun Wang ; Yi Wang

  • Author_Institution
    Air Defense Forces Acad., Zhengzhou, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    2300
  • Lastpage
    2303
  • Abstract
    This paper presents a basic localization algorithm for the outdoor navigation system. The algorithm uses cubature Kalman filter based on standard dead reckoning sensors and laser range and bearing information. The cubature Kalman filter is used to track the vehicle based on three key models, the vehicle model, the beacon model and the sensor model. The simulation results show that the localization algorithm using cubature Kalman filter performs much better than using the extended Kalman filter.
  • Keywords
    Global Positioning System; Kalman filters; codecs; encoding; laser ranging; optical sensors; path planning; sensor placement; GPS; Kalman Filter autonomous vehicle system; basic localization algorithm; beacon model; bearing information; cubature Kalman filter; dead reckoning sensors; encoder; laser range; outdoor navigation system; robots; sensor model; vehicle model; Autonomous Navigation; Cubature Kalman Filter; Simultaneous Localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6492040
  • Filename
    6492040