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

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  • 電子書籍

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

  • 著者名:Chen, Zhijun
  • 価格 ¥29,914 (本体¥27,195)
  • Elsevier(2024/04/04発売)
  • ポイント 271pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780443273162
  • eISBN:9780443273179

ファイル: /

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.

Table of Contents

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