Knowledge about the future development of a certain road traffic situation is indispensable for safe path planning of autonomous ground vehicles or action selection of intelligent driver assistance systems. Due to a significant uncertainty about the future behavior of traffic participants, the prediction of traffic situations should be computed in a probabilistic setting. Under consideration of the dynamics of traffic participants, their future position is computed probabilistically by Markov chains that are obtained with methods known from hybrid verification. The characteristic feature of the presented approach is that all possible behaviors of traffic participants are considered, allowing to identify any dangerous future situation. The novel contribution of this work is the explicit modeling of the interaction of traffic participants, which leads to a more accurate prediction of their positions. Results are demonstrated for different traffic situations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Stochastic reachable sets of interacting traffic participants


    Contributors:


    Publication date :

    2008-06-01


    Size :

    336176 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Stochastic Reachable Sets of Interacting Traffic Participants

    Althoff, M. / Stursberg, O. / Buss, M. | British Library Conference Proceedings | 2008



    Collision avoidance for UAVs using reachable sets

    Lin, Yucong / Saripalli, Srikanth | IEEE | 2015


    Computing Reachable Sets of Differential Inclusions

    Živanović Gonzalez, Sanja / Collins, Pieter | Springer Verlag | 2014


    Analysis of State Reachable Sets for Quadratic Systems

    Watanabe, R. / Uchida, K. / Fujita, M. | British Library Online Contents | 1998