Advanced Driver Intention Inference: Theory and Design

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.

Features examples of using machine learning/deep learning to build industry productsDepicts future trends for driver behavior detection and driver intention inferenceDiscuss traffic context perception techniques that predict driver intentions such as Lidar and GPS

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