Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems is written by Vipin Kumar Kukkala and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031280164 (ISBN 10) and 9783031280160 (ISBN 13).

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.