Advanced Driver Assistance Systems and Autonomous Vehicles (PDF)
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This book provides a comprehensive reference for both academia and industry on the fundamentals, technology details, and applications of Advanced Driver-Assistance Systems (ADAS) and autonomous driving, an emerging and rapidly growing area. The book written by experts covers the most recent research results and industry progress in the following areas: ADAS system design and test methodologies, advanced materials, modern automotive technologies, artificial intelligence, reliability concerns, and failure analysis in ADAS. Numerous images, tables, and didactic schematics are included throughout. This essential book equips readers with an in-depth understanding of all aspects of ADAS, providing insights into key areas for future research and development.
. Provides comprehensive coverage of the state-of-the-art in ADAS
. Covers advanced materials, deep learning, quality and reliability concerns, and fault isolation and failure analysis
. Discusses ADAS system design and test methodologies, novel automotive technologies
. Features contributions from both academic and industry authors, for a complete view of this important technology
Dr. Hualiang Shi is the lead hardware reliability engineer at Lyft's Level 5 self-driving division. Before Lyft, Dr. Shi spent more than fifteen years in the field of semiconductor and consumer electronics. His job roles included Integration Engineer at Apple's Silicon Engineering Group, Senior Reliability Engineer at Apple's Product Integrity Group, Staff Quality and Reliability Engineer at Intel's Corporate Quality Network, Senior Process
- 2022, 1st ed. 2022, 629 Seiten, Englisch
- Herausgegeben: Yan Li, Hualiang Shi
- Verlag: Springer Nature Singapore
- ISBN-10: 9811950539
- ISBN-13: 9789811950537
- Erscheinungsdatum: 28.10.2022
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- Dateiformat: PDF
- Grösse: 20 MB
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