• DocumentCode
    1867352
  • Title

    A probabilistic method for detecting impending vehicle interactions

  • Author

    Worrall, Stewart ; Nebot, Eduardo

  • Author_Institution
    Australian Center for Field Robot., Univ. of Sydney, Sydney, NSW
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    1787
  • Lastpage
    1791
  • Abstract
    In mining operations it is advantageous to be able to predict the future movements of nearby vehicles. For autonomous mining, this can be used for localised, short term path planning and risk assessment. For semi-autonomous or non-autonomous mining, this can be used for collision avoidance, situational awareness and risk assessment of maneuvers between a human operated vehicle, and another vehicle (operated by a human or otherwise). This paper introduces a probabilistic approach to predicting vehicle movements, in particular, the time until two vehicle paths intersect. Results are shown using real data collected from the operation of two separate fleets of vehicles.
  • Keywords
    collision avoidance; risk management; vehicles; autonomous mining; collision avoidance; impending vehicle interactions detection; maneuvers risk assessment; nonautonomous mining; probabilistic method; risk assessment; short term path planning; situational awareness; Object detection; Path planning; Radar detection; Remotely operated vehicles; Risk management; Road vehicles; Robotics and automation; Time measurement; Vehicle detection; Vehicle safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543467
  • Filename
    4543467