• DocumentCode
    1580607
  • Title

    Collision avoidance system for vehicles applying model predictive control theory

  • Author

    Seki, Y. ; Ohya, J. ; Miyoshi, M.

  • Author_Institution
    Syst. Div., Toshiba Corp., Tokyo, Japan
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    453
  • Lastpage
    458
  • Abstract
    One of the most important issues in controlling vehicles automatically is collision avoidance. A collision avoidance system (CAS) should cause the vehicle to stop reliably when a preceding vehicle stops suddenly on the road or when the CAS detects an obstacle. The paper proposes a collision, avoidance algorithm applying model predictive control (MPC) theory. The CAS proposed has the following features: (1) prediction of the future behavior of a vehicle, (2) good ride comfort preventing unnecessary brake reference change. A simple and high-performance CAS can be achieved using the proposed algorithm. Computer simulations have confirmed its high performance
  • Keywords
    collision avoidance; control system synthesis; digital simulation; matrix algebra; performance index; predictive control; road vehicles; collision avoidance system; model predictive control theory; obstacle detection; Automatic control; Change detection algorithms; Collision avoidance; Content addressable storage; Prediction algorithms; Predictive control; Predictive models; Road accidents; Road vehicles; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7803-4975-X
  • Type

    conf

  • DOI
    10.1109/ITSC.1999.821100
  • Filename
    821100