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OverviewThis 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. Full Product DetailsAuthor: Yi Lu Murphey , Ilya Kolmanovsky , Paul WattaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Weight: 1.126kg ISBN: 9783031067792ISBN 10: 3031067797 Pages: 567 Publication Date: 08 September 2022 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsAdvances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles.- Semi-autonomous Truck Platooning with a Lean Sensor Package.- Environmental Perception for Intelligent Vehicles.- 3D Object Detection for Autonomous Driving.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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