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

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

Zhijun Chen

Elsevier
Publication date : 2024-04-04

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This book provides an overview of constructing advanced Autonomous Driving Maps. It includes coverage of such methods as: fusion target perception (based on vehicle vision and millimeter wave radar), cross-field of view object perception, vehicle motion recognition (based on vehicle road fusion information), vehicle trajectory prediction (based on improved hybrid neural network) and the driving map construction method driven by road perception fusion. 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 book

Author

Zhijun Chen

Imprint

Elsevier

Collection

n.c

Publication date

2024-04-04

Pages

206 pages

Print ISBN

9780443273162

Language

English

Ebook informations

EAN EPUB DRM-FREE

9780443273179

Price

£145.58

Informations accessibility

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About author(s)

Zhijun Chen

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

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