• DocumentCode
    2380462
  • Title

    Terrain-based road vehicle localization using particle filters

  • Author

    Dean, Adam J. ; Martini, Ryan D. ; Brennan, Sean N.

  • Author_Institution
    Dept. of Mech. Eng., Penn State Univ., University Park, PA
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    236
  • Lastpage
    241
  • Abstract
    This work develops a real-time algorithm to localize a vehicle in the direction of travel without the use of GPS. The inputs to the algorithm include a terrain map of road grade and pitch measurements from an in-vehicle pitch sensor. Localization is achieved in real-time using a particle filter described in detail in this work. Simulations and experiments at The Pennsylvania Transportation Institute test track are used to demonstrate the algorithm, observe the speed of convergence, and to determine key parameters for practical implementation. The results indicate that the method can quickly localize a vehicle with one-meter accuracy or better.
  • Keywords
    geography; object detection; particle filtering (numerical methods); target tracking; traffic engineering computing; GPS; Pennsylvania Transportation Institute; in-vehicle pitch sensor; particle filters; pitch measurement; road grade; terrain map; terrain-based road vehicle localization; travel direction; Filtering; Frequency; Global Positioning System; Low pass filters; Particle filters; Road vehicles; Testing; Transportation; Vehicle driving; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586497
  • Filename
    4586497