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        Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles

        Dissertations in Series (Dissertationen in Schriftenreihe)

        Technological and Methodical Approaches

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        Author(s)
        Elgharbawy, Mohamed
        Collection
        AG Universitätsverlage
        Language
        English
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        Abstract
        With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.
        URI
        https://library.oapen.org/handle/20.500.12657/60862
        Keywords
        automatisiertes Fahren; Nutzfahrzeuge; Testmethoden; Stichprobenverfahren; messbare Sicherheitsvorhersage; automated driving; commercial motor vehicles; test methods; sampling methods; measurable safety prediction
        DOI
        10.5445/KSP/1000152393
        ISBN
        9783731512547, 9783731512547
        Publisher
        KIT Scientific Publishing
        Publisher website
        https://www.ksp.kit.edu/index.php?link=shop&sort=all
        Publication date and place
        2023
        Series
        Karlsruher Schriftenreihe Fahrzeugsystemtechnik, 15
        Classification
        Mechanical engineering and materials
        Pages
        268
        Rights
        https://creativecommons.org/licenses/by-sa/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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