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Table of contents
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- Book chapterNo access
Chapter 1 - Introduction
Pages 1-20 - Book chapterAbstract only
Chapter 2 - State of the Art of Driver Lane Change Intention Inference
Pages 21-51 - Book chapterAbstract only
Chapter 3 - Road Perception in Driver Intention Inference System
Pages 53-75 - Book chapterAbstract only
Chapter 4 - Design of Integrated Road Perception and Lane Detection System for Driver Intention Inference
Pages 77-98 - Book chapterAbstract only
Chapter 5 - Driver Behavior Recognition in Driver Intention Inference Systems
Pages 99-134 - Book chapterAbstract only
Chapter 6 - Application of Deep Learning Methods in Driver Behavior Recognition
Pages 135-156 - Book chapterAbstract only
Chapter 7 - Longitudinal Driver Intention Inference
Pages 157-191 - Book chapterAbstract only
Chapter 8 - Driver Lane-Change Intention Inference
Pages 193-233 - Book chapterNo access
Chapter 9 - Conclusions, Discussions, and Directions for Future Work
Pages 235-239 - Book chapterNo access
Index
Pages 241-247
About the book
Description
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.
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.
Key Features
- 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
- 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
Details
ISBN
978-0-12-819113-2
Language
English
Published
2020
Copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Imprint
Elsevier