Zhijun Chen

Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 206
• Erscheinungstermin: 4. April 2024
• Englisch
• ISBN-13: 9780443273179
• Artikelnr.: 70299941

Autorenporträt

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

Inhaltsangabe

1. Introduction 2. Fusion Target Perception Method Based on Vehicle Vision
and Millimeter Wave Radar 3. Cross-Field of View Object Perception Method
4. Vehicle Motion Recognition Method Based on Vehicle Road Fusion
Information 5. Vehicle Trajectory Prediction Method Based on Improved
Hybrid Neural Network 6. Driving Map Construction Driven by Road Perception
Fusion 7. Summary and conclusions