AI-enabled Technologies for Autonomous and Connected Vehicles, 1st ed. 2023 Lecture Notes in Intelligent Transportation and Infrastructure Series
Coordonnateurs : Murphey Yi Lu, Kolmanovsky Ilya, Watta Paul
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.
Date de parution : 09-2023
Ouvrage de 567 p.
15.5x23.5 cm
Date de parution : 09-2022
Ouvrage de 567 p.
15.5x23.5 cm
Thèmes d’AI-enabled Technologies for Autonomous and Connected... :
Mots-clés :
Automated Vehicle Control; Autonomous Vehicle Perception; V2V and V2X Communication; Autonomous Driving; Highly Automated Vehicles; Self-learning decision; Vehicle Safety Systems; Driving simulators; Electrified Mobility; AI Safety Systems; Autonomous Vehicle Security; Sensor Fusion for Autonomous Driving; Traffic Control; Eco-Driving