Design and development of connected and autonomous vehicles (CAVs) are accompanied by a growing concern over the safety of these systems. This chapter will survey recent advances in designing and operating CAVs with safety assurance, with a special focus on CAVs that employ neural network-based components. A diverse but interconnected set of techniques on the verification, design, and runtime adaptation of CAVs will be presented, culminating in a discussion of the outstanding challenges that the field faces and of the promising future directions.
Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems ; Chapter : 26 ; 735-757
2023-03-27
23 pages
Article/Chapter (Book)
Electronic Resource
English
Real-Time Safety-Assured Autonomous Aircraft
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