Advanced Driver Intention Inference: Theory and Design 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780128191132,0128191139,9780128191149, 0128191147
Product detail:
- ISBN 10: 0128191147
- ISBN 13: 9780128191149
- Author: Yang Xing, Chen Lv, Dongpu Cao
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 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
Table of contents:
- Chapter 1. Introduction
- Chapter 2. State of the Art of Driver Lane Change Intention Inference
- Chapter 3. Road Perception in Driver Intention Inference System
- Chapter 4. Design of Integrated Road Perception and Lane Detection System for Driver Intention Inference
- Chapter 5. Driver Behavior Recognition in Driver Intention Inference Systems
- Chapter 6. Application of Deep Learning Methods in Driver Behavior Recognition
- Chapter 7. Longitudinal Driver Intention Inference
- Chapter 8. Driver Lane-Change Intention Inference
- Chapter 9. Conclusions, Discussions, and Directions for Future Work