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.


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    Title :

    Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles


    Contributors:
    Kukkala, Vipin Kumar (editor) / Pasricha, Sudeep (editor) / Chen, Xin (author) / Fan, Jiameng (author) / Huang, Chao (author) / Jiao, Ruochen (author) / Li, Wenchao (author) / Liu, Xiangguo (author) / Wang, Yixuan (author) / Wang, Zhilu (author)


    Publication date :

    2023-03-27


    Size :

    23 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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