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Titlebook: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems; Vipin Kumar Kukkala,Sudeep Pasricha Book 2023 The Edit

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書目名稱Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
編輯Vipin Kumar Kukkala,Sudeep Pasricha
視頻videohttp://file.papertrans.cn/621/620568/620568.mp4
概述The book describes state-of-the-art solutions to design, secure, robust, and time critical automotive systems.Various approaches are discussed that will impact the design of the emerging autonomous ve
圖書封面Titlebook: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems;  Vipin Kumar Kukkala,Sudeep Pasricha Book 2023 The Edit
描述.This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles..
出版日期Book 2023
關(guān)鍵詞Automotive embedded systems; Machine learning; Intrusion detection systems; Reliable automotive network
版次1
doihttps://doi.org/10.1007/978-3-031-28016-0
isbn_softcover978-3-031-28018-4
isbn_ebook978-3-031-28016-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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978-3-031-28018-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Vipin Kumar Kukkala,Sudeep PasrichaThe book describes state-of-the-art solutions to design, secure, robust, and time critical automotive systems.Various approaches are discussed that will impact the design of the emerging autonomous ve
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Book 2023llenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles..
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