Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

Name: Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Brand: Springer Nature
SKU: 9783031280153
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Springer Nature

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9783031280153

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Product Description

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.

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