Decision-Making Techniques for Autonomous Vehicles
Editat de Jorge Villagra, Felipe Jiménezen Limba Engleză Paperback – 8 mar 2023
- 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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Specificații
ISBN-13: 9780323983396
ISBN-10: 0323983391
Pagini: 424
Ilustrații: Approx. 200 illustrations
Dimensiuni: 152 x 229 x 33 mm
Greutate: 0.57 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323983391
Pagini: 424
Ilustrații: Approx. 200 illustrations
Dimensiuni: 152 x 229 x 33 mm
Greutate: 0.57 kg
Editura: ELSEVIER SCIENCE
Public țintă
Researchers and Masters’ & PhD students working in the area of autonomous vehicles, control and decision makingCuprins
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
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