Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components

Autonomous vehicles are complex systems that are challenging to test and debug. A requirements-driven approach to the development process can decrease the resources required to design and test these systems, while simultaneously increasing the reliability. We present a testing framework that uses si...

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Veröffentlicht in:	IEEE transactions on intelligent vehicles 2020-06, Vol.5 (2), p.265-280
Hauptverfasser:	Tuncali, Cumhur Erkan, Fainekos, Georgios, Prokhorov, Danil, Ito, Hisahiro, Kapinski, James
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Autonomous vehicles CCD cameras Charge coupled devices Closed loop systems Complex systems Control algorithms Control systems design Controllers cyber-physical systems Laser radar Machine learning Sensors system validation system verification Temporal logic Test pattern generators
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