AI-enabled Technologies for Autonomous and Connected Vehicles

Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta

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English

Springer International Publishing AG
09 September 2023

Highway & traffic engineering; Automotive technology & trades; Intelligent & automated transport system technology; Imaging systems & technology; Artificial intelligence

Series: Lecture Notes in Intelligent Transportation and Infrastructure

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.

Edited by: Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2023 ed.
Dimensions: Height: 235mm, Width: 155mm,
Weight: 872g
ISBN: 9783031067822
ISBN 10: 3031067827
Series: Lecture Notes in Intelligent Transportation and Infrastructure
Pages: 567
Publication Date: 09 September 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Advances, 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.