With Advanced Driver Assistance Systems becoming increasingly complex, testing methods must keep up to efficiently test and validate these systems. This paper focuses on a method of testing vision-based Advanced Driver Assistance Systems on a state-of-the-art hardware-in-the-loop test bench. Virtual driving scenarios are being used for functional testing. This paper suggests a framework where the driving scenarios are constructed using a stochastical approach. This allows the testing of the parameter combinations that might otherwise be forgotten or disregarded by a human creating the scenarios. The first step of this framework, a road generator, is introduced. Generic courses of roads are created using the Markov Chain and Markov Chain Monte Carlo methods reconstructing real-life scenarios by analyzing map data.


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    Titel :

    Virtual Stochastic Testing of Advanced Driver Assistance Systems


    Weitere Titelangaben:

    Lect.Notes Mobility


    Beteiligte:
    Schulze, Tim (Herausgeber:in) / Müller, Beate (Herausgeber:in) / Meyer, Gereon (Herausgeber:in) / Prialé Olivares, Stephanie (Autor:in) / Rebernik, Nikolaus (Autor:in) / Eichberger, Arno (Autor:in) / Stadlober, Ernst (Autor:in)


    Erscheinungsdatum :

    2015-06-30


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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