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dc.contributor.authorElgharbawy, Mohamed
dc.date.accessioned2025-03-08T08:38:46Z
dc.date.available2025-03-08T08:38:46Z
dc.date.issued2023
dc.date.submitted2023-01-23T10:12:55Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/60862
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/190237
dc.description.abstractWith 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.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechnik
dc.rightsopen access
dc.subject.otherautomatisiertes Fahren; Nutzfahrzeuge; Testmethoden; Stichprobenverfahren; messbare Sicherheitsvorhersage; automated driving; commercial motor vehicles; test methods; sampling methods; measurable safety prediction
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleMeasurable Safety of Automated Driving Functions in Commercial Motor Vehicles
dc.title.alternativeTechnological and Methodical Approaches
dc.typebook
oapen.identifier.doi10.5445/KSP/1000152393
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.pages268
dc.seriesnumber15


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