• DocumentCode
    2993825
  • Title

    An operational perception system for cross-country navigation

  • Author

    Daily, Michael J. ; Harris, John G. ; Reiser, Kurt

  • Author_Institution
    Hughes Artificial Intelligence Center, Calabasas, CA, USA
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    794
  • Lastpage
    802
  • Abstract
    The authors present an operational perception system for cross-country navigation which has been verified in both simulated and real-world environments. Range data from a laser range scanner is transformed into an alternate representation called the Cartesian elevation map (CEM). A detailed vehicle model operates on the CEM to produce traversability information along selected trajectories. This information supports a real-time reflexive planning system. The authors successfully demonstrated their obstacle detection and avoidance algorithms on board the autonomous land vehicle at Martin Marietta Aerospace Corporation in Denver. They also propose enhancements to their current operational system
  • Keywords
    computer vision; computerised navigation; computerised pattern recognition; robots; vehicles; Cartesian elevation map; Martin Marietta Aerospace Corporation; autonomous land vehicle; computer vision; computerised navigation; computerised pattern recognition; cross-country navigation; laser range scanner; obstacle avoidance; obstacle detection; operational perception system; real-time reflexive planning system; real-world environments; traversability information; Artificial intelligence; Face recognition; Feature extraction; Indoor environments; Laser modes; Layout; Mobile robots; Navigation; Real time systems; Remotely operated vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196324
  • Filename
    196324