AI-enabled Technologies for Autonomous and Connected Vehicles

Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta (Herausgeber)

Buch | Hardcover

VIII, 567 Seiten

2022 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-06779-2 (ISBN)

Artikel merken

This book reports on cutting-edge research and advances in the field of intelligent 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.

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.

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.

Erscheinungsdatum	09.09.2022
Reihe/Serie	Lecture Notes in Intelligent Transportation and Infrastructure
Zusatzinfo	VIII, 567 p. 265 illus., 252 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1019 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Technik ► Bauwesen
	Technik ► Fahrzeugbau / Schiffbau
	Technik ► Maschinenbau
Schlagworte	AI Safety Systems • Automated Vehicle Control • Autonomous Driving • Autonomous Vehicle Perception • Autonomous Vehicle Security • Driving simulators • Eco-Driving • Electrified Mobility • Highly Automated Vehicles • Self-learning decision • Sensor Fusion for Autonomous Driving • traffic control • V2v And V2x Communication • Vehicle Safety Systems
ISBN-10	3-031-06779-7 / 3031067797
ISBN-13	978-3-031-06779-2 / 9783031067792
Zustand	Neuware