This paper explores how to enhance your autonomous system (AS) testing capabilities and quality assurance using a completely automated hardware-in-the-loop (HIL) test environment that interfaces to or simulates autonomous sensor technology, such as cameras, radar, LIDAR, and other key technologies, such as GNSS/maps and V2X communication. The key to performing such real-time testing is the ability to stimulate the various electronic control units (ECUs)/sensors through closed-loop simulation of the vehicle, its environment, traffic, surroundings, etc., along with playback of captured sensor data and its synchronization with key vehicle bus and application data.The latest technologies are introduced, which allow for direct sensor data injection to ECUs/line replaceable units (LRUs) for test interaction and stimulus, in addition to dynamic, on-the-fly modification of sensor data streams. It will be shown how these techniques are integrated with current HIL systems. This paper will also address new technologies and effective techniques for the optimization of test processes and resources, along with application examples of specific use cases for development of aero-applications utilizing simulated scenarios.


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    Titel :

    Raw Data Injection and Failure Testing of Camera, Radar, and Lidar for Highly Automated Systems


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Hager, Benjamin (Autor:in) / Allen, Jace (Autor:in)

    Kongress:

    AeroTech Americas ; 2019



    Erscheinungsdatum :

    2019-03-19




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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