• DocumentCode
    1875119
  • Title

    Artificial potential functions for highway driving with collision avoidance

  • Author

    Wolf, Michael T. ; Burdick, Joel W.

  • Author_Institution
    Mech. Eng., California Inst. of Technol., Pasadena, CA
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    3731
  • Lastpage
    3736
  • Abstract
    We present a set of potential function components to assist an automated or semi-automated vehicle in navigating a multi-lane, populated highway. The resulting potential field is constructed as a superposition of disparate functions for lane- keeping, road-staying, speed preference, and vehicle avoidance and passing. The construction of the vehicle avoidance potential is of primary importance, incorporating the structure and protocol of laned highway driving. Particularly, the shape and dimensions of the potential field behind each obstacle vehicle can appropriately encourage control vehicle slowing and/or passing, depending on the cars´ velocities and surrounding traffic. Hard barriers on roadway edges and soft boundaries between navigable lanes keep the vehicle on the highway, with a preference to travel in a lane center.
  • Keywords
    collision avoidance; mobile robots; road vehicles; artificial potential functions; collision avoidance; highway driving; lane- keeping functions; laned highway driving; populated highway; road-staying functions; semiautomated vehicle; speed preference; vehicle avoidance; Automated highways; Collision avoidance; Navigation; Road transportation; Road vehicles; Robot kinematics; Shape control; Space vehicles; Vehicle driving; Velocity control;
  • 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.2008.4543783
  • Filename
    4543783