Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems
Author | : Vipin Kumar Kukkala |
Publisher | : Springer Nature |
Total Pages | : 782 |
Release | : 2023-10-03 |
ISBN-10 | : 9783031280160 |
ISBN-13 | : 3031280164 |
Rating | : 4/5 (164 Downloads) |
Download or read book Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems written by Vipin Kumar Kukkala and published by Springer Nature. This book was released on 2023-10-03 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.