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.


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    Title :

    Collision avoidance system for vehicles applying model predictive control theory


    Contributors:
    Seki, Y. (author) / Ohya, J. (author) / Miyoshi, M. (author)


    Publication date :

    1999-01-01


    Size :

    434692 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Collision Avoidance System for Vehicles Applying Model Predictive Control Theory

    Seki, Y. / Ohya, J. / Miyoshi, M. et al. | British Library Conference Proceedings | 1999



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