Autonomous Emergency Braking (AEB) systems play a critical role in ensuring vehicle safety by detecting potential rear-end collisions and automatically applying brakes to mitigate or prevent accidents. This paper focuses on establishing a framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems (ADAS) by testing & verifying the functionality of a RADAR-based AEB ECU. A comprehensive V&V approach was adopted, incorporating both virtual and physical testing. For virtual testing, closed-loop Hardware-in-Loop (HIL) simulation technique was employed. The AEB ECU was interfaced with the real-time hardware via CAN. Data for the relevant target such as the target position, velocity etc. was calculated using an ideal RADAR sensor model running on the real-time hardware. The methodology involved conducting a series of test scenarios, including various driving speeds, obstacle types, and braking distances. Automation was leveraged to perform automated testing and report generation with pass-fail assessment for each test scenario. For physical testing, virtual test scenarios were recreated on a closed test track with the help of appropriate test equipment. Performance evaluation of the AEB ECU was conducted by installing it in a test vehicle and subjecting it to the recreated test scenarios. Test results and future scope are summarized at the end of the paper.


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    Titel :

    Framework for the Verification & Validation (V&V) of Advanced Driver Assistance Systems


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Bhagat, Ajinkya (Autor:in) / Kale, Jyoti Ganesh (Autor:in) / Karle, Manish (Autor:in) / R, Manish (Autor:in) / Pachhapurkar, Ninad (Autor:in) / Karle, Ujjwala (Autor:in)

    Kongress:

    Symposium on International Automotive Technology ; 2024



    Erscheinungsdatum :

    16.01.2024




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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