Inferring driver intentions plays an important role in developing human-centric intelligent driver assistance systems. In this paper, we propose a method of inferring the lane-changing intention of drivers by using a driver model based on the queuing network (QN) cognitive architecture. Driver behavior data associated with a range of possible driver intentions are simulated by using the QN-based driver model previously validated. The intentions of drivers are deduced by comparing these sets of simulated behavior data with the collected behavior data of drivers. The experimental results in a driving simulator show that the method can infer typical and rapid lane-changing intention of drivers well.


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    Titel :

    Inferring driver intentions using a driver model based on queuing network


    Beteiligte:
    Bi, Luzheng (Autor:in) / Yang, Xuerui (Autor:in) / Wang, Cuie (Autor:in)


    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    568347 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch