Yang Xing,
Yang (Postdoctoral Fellow in Division of Environment and Sustainability, Hong Kong University of Science and Technology.) Xing,
Chen Lv,
Chen (Assistant Professor, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore) Lv,
Dongpu Cao,
Dongpu (Associate Professor, University of Waterloo, Canada) Cao
e.a.
Advanced Driver Intention Inference
Theory and Design
Paperback Engels 2020 9780128191132Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
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Inhoudsopgave
PART I: INTRODUCTION AND MOTIVATION1. 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 systems3. Survey to Lane Detection Systems Integration and Evaluation4. Integrated Lane Detection Systems Design
PART IV: DRIVER BEHAVIOUR REASONING. Driving actions and secondary tasks recognition5. Driver Behaviour Recognition with Feature Evaluation6. Driver Behaviour Detection with an End-to-End Approach
PART V: DRIVER BRAKING AND LANE CHANGE MANOEUVERS. Intention inference7. Driver Braking Intensity Classification and Quantitative Inference 8. Driver Lane Change Intention Inference
PART VI: CONCLUSION AND FINAL REMARKS9. 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 systems3. Survey to Lane Detection Systems Integration and Evaluation4. Integrated Lane Detection Systems Design
PART IV: DRIVER BEHAVIOUR REASONING. Driving actions and secondary tasks recognition5. Driver Behaviour Recognition with Feature Evaluation6. Driver Behaviour Detection with an End-to-End Approach
PART V: DRIVER BRAKING AND LANE CHANGE MANOEUVERS. Intention inference7. Driver Braking Intensity Classification and Quantitative Inference 8. Driver Lane Change Intention Inference
PART VI: CONCLUSION AND FINAL REMARKS9. Conclusions, Discussions and Directions for Future Work
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