Jorge Villagra,
Felipe Jiménez
Decision-Making Techniques for Autonomous Vehicles
Paperback Engels 2023 9780323983396Levertijd ongeveer 9 werkdagen
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Samenvatting
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.
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Inhoudsopgave
<p>1. Overview</p> <p>PART I: EMBEDDED DECISION COMPONENTS<br>2. Embodied decision architectures<br>3. Behavior planning<br>4. Motion prediction and risk assessment<br>5. Motion search space<br>6. Motion planning<br>7. End-to-end architectures<br>8. Interplay between decision and control</p> <p>PART II: INFRASTRUCTURE-ORIENTED DECISION-MAKING<br>9. Traffic data analysis and route planning<br>10. Cooperative driving<br>11. Infrastructure impact</p> <p>PART III: USER INFLUENCE<br>12. Driver behavior<br>13. Human-machine interaction</p> <p>PART IV: DEPLOYMENT ISSUES<br>14. Algorithms validation<br>15. Legal and social aspects<br></p>
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