The development of automated driving and Adaptive Driver-Assistance System (ADAS) functions requires extensive testing and validation prior to deployment. In general, exhaustive real-life scenario validation of such systems is not feasible and is overly time consuming. Moreover, simulation-only evaluations and testing are often deemed as inadequate due to the unmodeled dynamics and the lack of 1-1 correspondence with real-life testing. As a remedy, we describe in this article a novel test methodology called the “Hybrid Testing,” which was developed in the scope of the EU-H2020 project INFRAMIX, which enables the evaluation of a real vehicle in a virtual scenario in an enclosed proving ground with simulated traffic components and sensor signals, thereby combining the benefits of simulation and real-life testing. We show the utilization of this novel testing methodology for the evaluation of a trajectory planning (TP) algorithm to demonstrate its working principles and benefits.


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    Titel :

    Hybrid Testing: A Vehicle-in-the-Loop Testing Method for the Development of Automated Driving Functions


    Weitere Titelangaben:

    Sae Intl. J Cav


    Beteiligte:


    Erscheinungsdatum :

    17.03.2021


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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