AI enabled Technologies for Autonomous and Connected Vehicles

This book PDF is perfect for those who love Technology & Engineering genre, written by Yi Lu Murphey and published by Springer Nature which was released on 07 September 2022 with total hardcover pages 563. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related AI enabled Technologies for Autonomous and Connected Vehicles books below.

AI enabled Technologies for Autonomous and Connected Vehicles
AI enabled Technologies for Autonomous and Connected Vehicles
Author : Yi Lu Murphey
File Size : 42,9 Mb
Publisher : Springer Nature
Language : English
Release Date : 07 September 2022
ISBN : 9783031067808
Pages : 563 pages
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AI enabled Technologies for Autonomous and Connected Vehicles by Yi Lu Murphey Book PDF Summary

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.

AI enabled Technologies for Autonomous and Connected Vehicles

AI enabled Technologies for Autonomous and Connected Vehicles by Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta

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

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AI enabled Technologies for Autonomous and Connected Vehicles

AI enabled Technologies for Autonomous and Connected Vehicles by Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta

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

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The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribute to the autonomous and connected vehicles of tomorrow. With the development of automated mobility, it becomes necessary to design a series of modules which, from the

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