Automated driving is currently under research in various projects and research activities. In order to support these activities a structured approach of different research areas, which are relevant for automated driving, is given. These are clustered into societal and legal aspects, human factors and the necessary technology which may result in technical standards. Furthermore, topics with regard to the driver, the vehicle and the environment are in the focus of these research areas. Moreover, the interaction within the control loop driver - vehicle - environment is presented for all different levels of automation. Based on such a comprehensive overview a concept for the technical development of automated driving is proposed in form of the so-called Alpha-Model. This model represents all necessary technical functions according to skill-based, rule-based or knowledge-based behaviour in analogy to the human cognition in a new architecture for automotive intelligence. Finally, a concept for the effective evaluation of automated driving is proposed in from of a data base of relevant driving situations, which are collected and simulated based on accident data, field operational and dedicated field test data. Such relevant driving situations are the basis for an effective evaluation methodology to be applied in simulation, driving simulators and in the controlled field.


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    Titel :

    Automated driving - concept and evaluation


    Beteiligte:
    Zlocki, Adrian (Autor:in) / Eckstein, Lutz (Autor:in)


    Erscheinungsdatum :

    2014


    Format / Umfang :

    17 Seiten, Bilder, 19 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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