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AI-enabled technologies for autonomous and connected vehicles

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI-enabled technologies for autonomous and connected vehiclesedited by Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta.
other author:	Murphey, Yi Lu.
Published:	Cham :Springer International Publishing :2023.
Description:	viii, 567 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Vehicular ad hoc networks (Computer networks)
Online resource:	https://doi.org/10.1007/978-3-031-06780-8
ISBN:	9783031067808$q(electronic bk.)

AI-enabled technologies for autonomous and connected vehicles
AI-enabled technologies for autonomous and connected vehicles[electronic resource] /edited by Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta. - Cham :Springer International Publishing :2023. - viii, 567 p. :ill., digital ;24 cm. - Lecture notes in intelligent transportation and infrastructure,2523-3459. - Lecture notes in intelligent transportation and infrastructure..

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.

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.

ISBN: 9783031067808$q(electronic bk.)

Standard No.: 10.1007/978-3-031-06780-8doiSubjects--Topical Terms:

383232
Vehicular ad hoc networks (Computer networks)

LC Class. No.: TE228.38

Dewey Class. No.: 629.22

AI-enabled technologies for autonomous and connected vehicles
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505 0 $a 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.
520 $a 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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