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Advanced Driver Intention Inference
Theory and Design
Presents cutting-edge technologies on the analysis of human driver and their interaction with future intelligent vehicles
Yang Xing (Author), Chen Lv (Author), Dongpu Cao (Author)
9780128191132, Elsevier Science
Paperback, published 18 March 2020
258 pages
23.4 x 19 x 1.7 cm, 0.45 kg
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 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
Subject Areas: Automotive technology & trades [TRC]
