AI-enabled Technologies for Autonomous and Connected Vehicles

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Éditeur :

Springer


Collection :

Lecture Notes in Intelligent Transportation and Infrastructure

Paru le : 2022-09-07

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Description

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. 
Pages
567 pages
Collection
Lecture Notes in Intelligent Transportation and Infrastructure
Parution
2022-09-07
Marque
Springer
EAN papier
9783031067792
EAN PDF
9783031067808

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
18104 Ko
Prix
147,69 €
EAN EPUB
9783031067808

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
56
Taille du fichier
106373 Ko
Prix
147,69 €