自動運転車のための意思決定技術 Decision-Making Techniques for Autonomous Vehicles

Villagra, Jorge (EDT)/ Jiménez, Felipe (EDT)

Elsevier - Health Sciences Division（2023/03発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 424 p.
• 言語 ENG
• 商品コード 9780323983396
• DDC分類 629.046

Full Description

Decision-Making Techniques for Autonomous Vehicles provides a general overview of control and decision-making tools that could be used in autonomous vehicles. Motion prediction and planning tools are presented, along with the use of machine learning and adaptability to improve performance of algorithms in real scenarios. The book then examines how driver monitoring and behavior analysis are used produce comprehensive and predictable reactions in automated vehicles. The book ultimately covers regulatory and ethical issues to consider for implementing correct and robust decision-making. This book is for researchers as well as Masters and PhD students working with autonomous vehicles and decision algorithms.

Contents

1. Overview

PART I: EMBEDDED DECISION COMPONENTS
2. Embodied decision architectures
3. Behavior planning
4. Motion prediction and risk assessment
5. Motion search space
6. Motion planning
7. End-to-end architectures
8. Interplay between decision and control

PART II: INFRASTRUCTURE-ORIENTED DECISION-MAKING
9. Traffic data analysis and route planning
10. Cooperative driving
11. Infrastructure impact

PART III: USER INFLUENCE
12. Driver behavior
13. Human-machine interaction

PART IV: DEPLOYMENT ISSUES
14. Algorithms validation
15. Legal and social aspects