Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment - Softcover

Chen

9780443273162: Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment

Softcover

ISBN 10: 0443273162 ISBN 13: 9780443273162

Publisher: Elsevier, 2024

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Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment not only supports the development of Intelligent & Connected Transportation, but also promotes the landing application of autonomous driving. Areas covered include the fusion target perception method based on vehicle vision and millimeter wave radar, cross-field of view object perception method, vehicle motion recognition method based on vehicle road fusion information, vehicle trajectory prediction method based on improved hybrid neural network and driving map construction driven by road perception fusion are introduced in this book.

Benefiting from the development of computer technique, the advanced machine learning and artificial intelligence theories are used by this book to show readers the construction process of the Autonomous Driving Map.

An Autonomous Driving Map is used for optimization of not only for a single vehicle, but also for the entire traffic system.

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About the Author

Dr Chen is the Deputy Director of the Institute of Traffic Information and Intelligent Systems, Intelligent Transportation Systems Research Center, Wuhan University of Technology. His expertise areas include artificial intelligence, image processing, big data mining, vehicle-road collaboration and connected automated driving, intelligent driving, autonomous driving

From the Back Cover

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment provides an advanced Autonomous Driving Map construction method. Fusion target perception method based on vehicle vision and millimeter wave radar, cross-field of view object perception method, vehicle motion recognition method based on vehicle road fusion information, vehicle trajectory prediction method based on improved hybrid neural network and driving map construction driven by road perception fusion are introduced in this book. Besides, the experimental results show that the innovative methods proposed in this book are effective.

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment not only supports the development of Intelligent & Connected Transportation, but also promotes the landing application of autonomous driving. However, the construction of Autonomous Driving Maps is still in its infancy. Benefiting from the development of computer technique, the advanced machine learning and artificial intelligence theories are used by this book to show readers the construction process of Autonomous Driving Map.

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