Automotive industry is currently shifting from automated driving assistance systems to conditionally automated vehicles. Traditional automotive component testing methodologies are not sufficient to verify these increasingly complex systems. While previous research deals primarily with elementary components of complex verification systems for autonomous driving, commercial software companies combine them without making the results publicly available. The focus of the presented in this paper is to analyze the components necessary to design and build a simulation-based autonomous driving verification system. The results of this analysis are then integrated into a proof-of-concept system whose performance is compared with requirements collected beforehand. The outcome of this work will provide a scientific basis for future developments of autonomous driving verification systems for automotive appliances based on simulation.


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    Title :

    Development of a Scenario Simulation Platform to Support Autonomous Driving Verification


    Contributors:


    Publication date :

    2019-11-01


    Size :

    736433 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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