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



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Éditeur :

Elsevier


Paru le : 2024-04-04



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Description
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.
Pages
206 pages
Collection
n.c
Parution
2024-04-04
Marque
Elsevier
EAN papier
9780443273162
EAN EPUB SANS DRM
9780443273179

Prix
167,73 €

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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