Titlebook: AI-enabled Technologies for Autonomous and Connected Vehicles; Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta Book 2023 The Editor(s) (if appli

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Sudhendu Rai,Eric Gross,Ranjit Kumar Ettame the autonomous vehicles safely and efficiently. Existing decision and control modules for automated vehicles are mainly using a rule-based hand-engineered approach. Although working well in a number of specialized scenarios, such method shows its limitation when dealing with highly automated drivi

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Gerald W. Evans,Gail W. DePuy,Aman Guptae for the acceptance and diffusion of these technologies. On-road testing alone is no option due to the enormous time requirements, so virtual testing is generally considered to be a necessary complement. While more time efficient than on road testing, also virtual testing cannot be performed for al

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978-3-031-06782-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Yi Lu Murphey,Ilya Kolmanovsky,Paul WattaReports on cutting-edge technologies for automated driving.Describes advanced applications of machine learning, big data, AI and control.Discusses aspects related to safety, energy efficiency, and hum

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Lecture Notes in Intelligent Transportation and Infrastructurehttp://image.papertrans.cn/a/image/142856.jpg

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AI-enabled Technologies for Autonomous and Connected Vehicles978-3-031-06780-8Series ISSN 2523-3440 Series E-ISSN 2523-3459