Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems (1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	September 2023
First published:	2023
Editors:	Vipin Kumar Kukkala • Sudeep Pasricha
Dimensions:	235 x 155mm (L x W)
Pages:	789
Edition:	1st ed. 2023
ISBN-13:	978-3-03-128015-3
Categories:	Books
LSN:	3-03-128015-6
Barcode:	9783031280153

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