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

Auteur
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

Texte du rabat

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.

Contenu

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