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商品詳細
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems. 2023 ed.
・ISBN 978-3-031-28018-4 paper EUR 79.99
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| 著者・編者 | Kukkala, Vipin Kumar / Pasricha, Sudeep (eds.), |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 789 pp. |
| 言語 | ENG |
| ニュース番号 | <A03-67687> |
解説
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.