• DocumentCode
    2487009
  • Title

    Sensing and Sensor Fusion for the 2005 Desert Buckeyes DARPA Grand Challenge Offroad Autonomous Vehicle

  • Author

    Redmill, Keith A. ; Martin, John I. ; Ozguner, O.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    528
  • Lastpage
    533
  • Abstract
    This paper describes the sensor suite and the sensor fusion algorithms used for external environment sensing in the Ohio State University Desert Buckeyes 2005 DARPA Grand Challenge autonomous off-road vehicle entry. The external environment sensor suite included laser rangefinders, a stereo vision system, a radar system, and ultrasonic rangefinders. The positioning and orientation sensor suite included a precision GPS receiver, a vertical gyroscope, a digital compass, and dead reckoning wheel speed sensors. Sensor fusion was accomplished on a cell-based map using multiple confidence measures and estimated object height. Issues arising from terrain and the estimation of a ground profile ahead of the vehicle are also discussed
  • Keywords
    automotive components; road vehicle radar; sensor fusion; vehicles; DARPA Grand Challenge; Global Positioning System; autonomous off-road vehicle entry; cell-based map; dead reckoning wheel speed sensor; digital compass; environment sensor suite; laser rangefinder; offroad autonomous vehicle; orientation sensor suite; positioning sensor suite; precision GPS receiver; radar system; sensor fusion; stereo vision system; ultrasonic rangefinder; vertical gyroscope; Global Positioning System; Gyroscopes; Laser fusion; Laser radar; Mobile robots; Remotely operated vehicles; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2006 IEEE
  • Conference_Location
    Tokyo
  • Print_ISBN
    4-901122-86-X
  • Type

    conf

  • DOI
    10.1109/IVS.2006.1689682
  • Filename
    1689682