Real-time, rule-based guidance systems for autonomous vehicles on limited-access highways are investigated. The goal of these systems is to plan trajectories that are safe while satisfying the driver's requests based on stochastic information about the vehicle state and the surrounding traffic. A rulebased system is used for high-level planning. Given a stochastic model of the traffic situation driven by current measurements, the probable evolution of traffic and the best trajectory to follow are predicted. Simulation results assess the impact of uncertain knowledge of traffic on the performance of the guidance system, showing that uncertainty can and must be taken into account.


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    Title :

    Probability-Based Decision Making for Automated Highway Driving


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Vehicle Navigation & Instrument Systems ; 1991



    Publication date :

    1991-10-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Probability-based decision making for automated Highway driving

    Niehaus,A. / Stengel,R.F. / Princeton Univ.,Dep.of Mechanical and Aerospace Engineering,US | Automotive engineering | 1991


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