Testing vision-based control systems using learnable evolutionary algorithms

Vision-based control systems are key enablers of many autonomous vehicular systems, including self-driving cars. Testing such systems is complicated by complex and multidimensional input spaces. We propose an automated testing algorithm that builds on learnable evolutionary algorithms. These algorit...

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Vydané v:2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) s. 1016 - 1026
Hlavní autori: Abdessalem, Raja Ben, Nejati, Shiva, Briand, Lionel C., Stifter, Thomas
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: New York, NY, USA ACM 27.05.2018
Edícia:ACM Conferences
Predmet:
Automotive engineering
Automotive Software Systems
Classification algorithms
Control systems
Decision trees
Evolutionary algorithms
Evolutionary computation
Roads
Search-based Software Engineering
Software and its engineering > Software creation and management > Search-based software engineering
Software and its engineering > Software creation and management > Software verification and validation > Software defect analysis > Software testing and debugging
Software Testing
Testing
automotive software systems
software testing
evolutionary algorithms
search-based software engineering
ISBN:9781450356381, 1450356389
ISSN:1558-1225
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