AI-enabled Technologies for Autonomous and Connected Vehicles
Springer Nature Switzerland
ISBN 978-3-031-06780-8
Standardpreis
Bibliografische Daten
eBook. PDF
2022
VIII, 567 p. 265 illus., 252 illus. in color..
In englischer Sprache
Umfang: 567 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-06780-8
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Lecture Notes in Intelligent Transportation and Infrastructure
Produktbeschreibung
This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies.
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