• DocumentCode
    2817008
  • Title

    EMS-vision: recognition of intersections on unmarked road networks

  • Author

    Lützeler, M. ; Dickmanns, E.D.

  • Author_Institution
    Inst. fur Systemdynamik und Flugmech., Univ. der Bundeswehr Munchen, Neubiberg, Germany
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    302
  • Lastpage
    307
  • Abstract
    The ability to recognize intersections enables an autonomous vehicle to navigate on road networks for performing complex missions. The paper gives the geometry model for intersections applied and their interaction with active viewing direction control. Quality measures indicate to performance monitoring processes the reliability of the estimation results. The perception module is integrated in the EMS-Vision system. Results from autonomous turn-off maneuvers, conducted on unmarked campus roads are discussed
  • Keywords
    mobile robots; robot vision; software agents; EMS-Vision system; autonomous vehicle; autonomous vehicles; dynamic machine vision; performance monitoring; road navigation; road networks; road recognition; unmarked road networks; Cameras; Geometry; Layout; Machine vision; Monitoring; Navigation; Road vehicles; Solid modeling; Vehicle detection; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    0-7803-6363-9
  • Type

    conf

  • DOI
    10.1109/IVS.2000.898359
  • Filename
    898359