• DocumentCode
    3279409
  • Title

    Obstacle detection for high speed autonomous navigation

  • Author

    Singh, Sanjiv ; Keller, Paul

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1991
  • fDate
    9-11 Apr 1991
  • Firstpage
    2798
  • Abstract
    Several schemes are presented for obstacle detection for autonomous vehicles traveling at high speeds (about 5 m/s). In particular, the authors discuss schemes that make a globally flat-world assumption and ignore vehicle pitch motion. They examine methods that relax the above assumptions. In each case the strengths and weaknesses of the solutions proposed are discussed. Experimental and simulation results are presented
  • Keywords
    mobile robots; navigation; pattern recognition; planning (artificial intelligence); vehicles; autonomous navigation; autonomous vehicles; globally flat-world assumption; mobile robots; obstacle detection; path planning; pattern recognition; profile matching; scanner; Acceleration; Cyclones; Feedback; Mobile robots; Remotely operated vehicles; Robot sensing systems; Sonar navigation; Space exploration; Space vehicles; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    0-8186-2163-X
  • Type

    conf

  • DOI
    10.1109/ROBOT.1991.132057
  • Filename
    132057