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Decision-Making Techniques for Autonomous Vehicles
Delivers a deep and comprehensive overview of decision-making and control techniques for those working with autonomous vehicles and decision algorithms
Jorge Villagra (Edited by), Felipe Jimenez (Edited by)
9780323983396, Elsevier Science
Paperback / softback, published 9 March 2023
424 pages, Approx. 200 illustrations
22.9 x 15.2 x 2.7 cm, 0.68 kg
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.
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
Subject Areas: Automotive technology & trades [TRC]
