UID:
edoccha_9960985329302883
Umfang:
1 online resource (269 pages)
Inhalt:
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.
Anmerkung:
Vorwort des Herausgebers i -- Kurzfassung . iii -- Abstract v -- Acknowledgement vii -- 1 Introduction 1 -- 2 Safety Assurance in the Open Context . 19 -- 3 State-of-the-Art and Research Perspectives 59 -- 4 Hardware-in-the-Loop Simulation . 85 -- 5 Data-driven Scenario Extraction . 111 -- 6 Operational Design Domain Coverage 129 -- 7 Reliability Analysis Using Sampling Methods . 147 -- 8 Conclusions 161 -- 9 Glossary 167 -- List of Figures 185 -- List of Tables . 191 -- Bibliography . 193 -- Project-Related Publications . 23.
,
In English.
Weitere Ausg.:
ISBN 1000152393
Sprache:
Englisch
DOI:
10.5445/KSP/1000152393
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