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.
Elsevier Science
e druk, 2020
9780128191132
Advanced Driver Intention Inference
Theory and Design
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2020
ISBN13: 9780128191132
Rubricering
Levertijd ongeveer 8 werkdagen
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
Inhoudsopgave
<p>PART I: INTRODUCTION AND MOTIVATION1. Introduction and Motivation</p> <p>PART II: LITERATURE REVIEW. State-of-art of driver intention inference 2. Survey to Driver Intention Inference</p> <p>PART III: TRAFFIC CONTEXT PERCEPTION. Integrated lane detection systems3. Survey to Lane Detection Systems Integration and Evaluation4. Integrated Lane Detection Systems Design</p> <p>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</p> <p>PART V: DRIVER BRAKING AND LANE CHANGE MANOEUVERS. Intention inference7. Driver Braking Intensity Classification and Quantitative Inference 8. Driver Lane Change Intention Inference</p> <p>PART VI: CONCLUSION AND FINAL REMARKS9. Conclusions, Discussions and Directions for Future Work</p>