Machine learning and optimization techniques for automotive cyber-physical systems
Machine learning and optimization techniques for automotive cyber-physical systems
- Neue Suche nach: Kukkala, Vipin Kumar
- Neue Suche nach: Pasricha, Sudeep
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
Dokumentinformationen
Machine learning and optimization techniques for automotive cyber-physical systems
2023
xv, 789 Seiten
Illustrationen, Diagramme
Literaturangaben
Buch
Englisch
Embedded systems , TECHNOLOGY & ENGINEERING / Automotive , TECHNOLOGY & ENGINEERING / Electronics / Circuits / General , COMPUTERS / Cybernetics , COM092000 , Eingebettete Systeme , LANGUAGE ARTS & DISCIPLINES / Library & Information Science , Automotive technology & trades , Machine learning , COM094000 , Circuits & components , Cybernetics & systems theory , Kybernetik und Systemtheorie , Schaltkreise und Komponenten(Bauteile) , Maschinelles Lernen , Fahrzeugbau
| DDC: | 629.20285631 |
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