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Online Public Access Catalogue

题名/责任者:

AI-enabled technologies for autonomous and connected vehicles / Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta, editors.

出版发行项:

Cham : Springer, [2023]

ISBN:

9783031067792

ISBN:

3031067797

载体形态项:

viii, 567 pages : illustrations (chiefly colour) ; 24 cm.

其他载体形态:

Print version: Murphey, Yi Lu. AI-Enabled Technologies for Autonomous and Connected Vehicles. Cham : Springer International Publishing AG,

丛编说明:

Lecture notes in intelligent transportation and infrastructure

丛编统一题名:

Lecture notes in intelligent transportation and infrastructure.

附加个人名称:

Murphey, Yi Lu, editor.

附加个人名称:

Kolmanovsky, Ilya V., editor.

附加个人名称:

Watta, Paul, 1965- editor.

附加团体名称:

Ohio Library and Information Network.

论题主题:

Vehicular ad hoc networks (Computer networks)

论题主题:

Automated vehicles.

论题主题:

Artificial intelligence-Engineering applications.

中图法分类号:

U463.67

书目附注:

Includes bibliographical references.

摘要附注:

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.

豆瓣简介：