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Search-based Test Generation for Automated Driving Systems: From Perception to Control Logic

Abstract Automated driving systems are in an intensive research and development stage, and the companies developing these systems are targeting to deploy them on public roads in a very near future. Guaranteeing safe operation of these systems is crucial as they are planned to carry passengers and share the road with other vehicles and pedestrians. Yet, there is no agreed-upon approach on how and in what detail those systems should be tested. Different organizations have different testing approaches, and one common approach is to combine simulation-based testing with real-world driving.

One of the expectations from fully-automated vehicles is never to cause an accident. However, an automated vehicle may not be able to avoid all collisions, e.g., the... (more)
Created Date 2019
Contributor Tuncali, Cumhur Erkan (Author) / Fainekos, Georgios (Advisor) / Ben Amor, Heni (Committee member) / Kapinski, James (Committee member) / Shrivastava, Aviral (Committee member) / Arizona State University (Publisher)
Subject Computer engineering / Robotics / Autonomous vehicles / control / cyber-physical systems / robotics / Testing / Verification
Type Doctoral Dissertation
Extent 212 pages
Language English
Note Doctoral Dissertation Computer Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis