Recent developments in the testing and safety assurances of Automated Driving Systems (ADSs) have shifted from a traditional distance-based approach (i.e. vehicle miles travelled) to scenario-based approach. Various studies have been conducted on different aspects of the scenario-based testing workflow such as scenario generation, scenario description language, and scenario analysis. This study intends to build on top of the individual functional modules introduced for scenario-based testing and contributes towards a common test framework, based on the experience gained from the Innovate UK's OmniCAV project. The Test Framework introduced in this paper consists of: Description of Test Scenarios, Different Types of Testing and Allocation of Tests, Generation of Test Cases, Data Collection & Analysis, Correlation of obtained Results and Evidence Gathering for functional and behavioral verification. The framework and processes defined here have relevance to real-world practice and contribute towards both verifiability and certifiability of ADSs.


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    Titel :

    Test Framework for Automatic Test Case Generation and Execution Aimed at Developing Trustworthy AVs from Both Verifiability and Certifiability Aspects


    Beteiligte:
    Zhang, Xizhe (Autor:in) / Khastgir, Siddartha (Autor:in) / Asgari, Hamid (Autor:in) / Jennings, Paul (Autor:in)


    Erscheinungsdatum :

    2021-09-19


    Format / Umfang :

    899141 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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