Advanced Driver Assistance Systems and higher-level automated features are rapidly being deployed in the automotive industry. A common development approach taken for ensuring safe operation of these vehicles is to focus on driving real vehicles in the planned operating environment. This approach has benefits, including helping to identify challenging driving situations a vehicle may encounter and providing evidence of safe operation. However, driving millions of miles during vehicle development does not scale as more features are deployed. A model-based engineering approach can be used to augment real-world driving to provide a more efficient method for developing safe features. This paper describes key elements of such a model-based approach that includes a mission plan containing key parameterized use cases that trace down to simulation scenarios used to identify scenario edge cases to support Safety of the Intended Functionality.


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    Titel :

    A Model-Based Engineering Approach for Development of ADAS Features


    Beteiligte:
    Madni, Azad M. (Herausgeber:in) / Boehm, Barry (Herausgeber:in) / Erwin, Daniel (Herausgeber:in) / Moghaddam, Mahta (Herausgeber:in) / Sievers, Michael (Herausgeber:in) / Wheaton, Marilee (Herausgeber:in) / Adiththan, Arun (Autor:in) / D’Ambrosio, Joseph (Autor:in) / Peranandam, Prakash (Autor:in) / Ramesh, S. (Autor:in)


    Erscheinungsdatum :

    2022-03-25


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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