Advanced Driver Intention Inference: Theory and Design
Autor Yang Xing, Chen Lv, Dongpu Caoen Limba Engleză Paperback – 17 mar 2020
- Features examples of using machine learning/deep learning to build industry products
- Depicts future trends for driver behavior detection and driver intention inference
- Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS
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Specificații
ISBN-13: 9780128191132
ISBN-10: 0128191139
Pagini: 258
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128191139
Pagini: 258
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Public țintă
Automotive engineers and graduate studentsCuprins
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