Decision-Making Techniques for Autonomous Vehicles
eBook - ePub

Decision-Making Techniques for Autonomous Vehicles

  1. 424 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Decision-Making Techniques for Autonomous Vehicles

About this book

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. - Provides a complete overview of decision-making and control techniques for autonomous vehicles - Includes technical, physical, and mathematical explanations to provide knowledge for implementation of tools - Features machine learning to improve performance of decision-making algorithms - Shows how regulations and ethics influence the development and implementation of these algorithms in real scenarios

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Yes, you can access Decision-Making Techniques for Autonomous Vehicles by Jorge Villagra,Felipe Jiménez in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Automotive Transportation & Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Decision-making Techniques for Autonomous Vehicles
  2. Cover
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Contributors
  7. About the editors
  8. Chapter 1 Overview
  9. Chapter 2 Embodied decision architectures
  10. Chapter 3 Behavior planning
  11. Chapter 4 Motion prediction and risk assessment
  12. Chapter 5 Motion search space
  13. Chapter 6 Motion planning
  14. Chapter 7 End-to-end architectures
  15. Chapter 8 Interplay between decision and control
  16. Chapter 9 Traffic data analysis and route planning
  17. Chapter 10 Cooperative driving
  18. Chapter 11 Infrastructure impact
  19. Chapter 12 Driver behavior
  20. Chapter 13 Human-machine interaction
  21. Chapter 14 Algorithms validation
  22. Chapter 15 Legal and social aspects
  23. Index