Advanced Driver Intention Inference
Theory and Design
Yang Xing ; Chen Lv ; Dongpu Cao
Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely,
the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention
mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. Les mer
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Vår pris:
1686,-
(Paperback)
Fri frakt!
Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.
Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely,
the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference
system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic
on-board decision system for automated vehicles.
PART I: INTRODUCTION AND MOTIVATION 1. Introduction and Motivation
PART II: LITERATURE REVIEW. State-of-art of driver intention inference 2. Survey to Driver Intention Inference
PART III: TRAFFIC CONTEXT PERCEPTION. Integrated lane detection systems 3. Survey to Lane Detection Systems Integration and Evaluation 4. Integrated Lane Detection Systems Design
PART IV: DRIVER BEHAVIOUR REASONING. Driving actions and secondary tasks recognition 5. Driver Behaviour Recognition with Feature Evaluation 6. Driver Behaviour Detection with an End-to-End Approach
PART V: DRIVER BRAKING AND LANE CHANGE MANOEUVERS. Intention inference 7. Driver Braking Intensity Classification and Quantitative Inference 8. Driver Lane Change Intention Inference
PART VI: CONCLUSION AND FINAL REMARKS 9. Conclusions, Discussions and Directions for Future Work
PART II: LITERATURE REVIEW. State-of-art of driver intention inference 2. Survey to Driver Intention Inference
PART III: TRAFFIC CONTEXT PERCEPTION. Integrated lane detection systems 3. Survey to Lane Detection Systems Integration and Evaluation 4. Integrated Lane Detection Systems Design
PART IV: DRIVER BEHAVIOUR REASONING. Driving actions and secondary tasks recognition 5. Driver Behaviour Recognition with Feature Evaluation 6. Driver Behaviour Detection with an End-to-End Approach
PART V: DRIVER BRAKING AND LANE CHANGE MANOEUVERS. Intention inference 7. Driver Braking Intensity Classification and Quantitative Inference 8. Driver Lane Change Intention Inference
PART VI: CONCLUSION AND FINAL REMARKS 9. Conclusions, Discussions and Directions for Future Work