Cover for Advanced Driver Intention Inference

Advanced Driver Intention Inference

Theory and Design

Book2020

Authors:

Yang Xing, Chen Lv and Dongpu Cao

Advanced Driver Intention Inference

Theory and Design

Book2020

 

Cover for Advanced Driver Intention Inference

Authors:

Yang Xing, Chen Lv and Dongpu Cao

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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 s ... read full description

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  2. Book chapterNo access

    Chapter 1 - Introduction

    Pages 1-20

  3. Book chapterAbstract only

    Chapter 2 - State of the Art of Driver Lane Change Intention Inference

    Pages 21-51

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    Chapter 3 - Road Perception in Driver Intention Inference System

    Pages 53-75

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    Chapter 4 - Design of Integrated Road Perception and Lane Detection System for Driver Intention Inference

    Pages 77-98

  6. Book chapterAbstract only

    Chapter 5 - Driver Behavior Recognition in Driver Intention Inference Systems

    Pages 99-134

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    Chapter 6 - Application of Deep Learning Methods in Driver Behavior Recognition

    Pages 135-156

  8. Book chapterAbstract only

    Chapter 7 - Longitudinal Driver Intention Inference

    Pages 157-191

  9. Book chapterAbstract only

    Chapter 8 - Driver Lane-Change Intention Inference

    Pages 193-233

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    Chapter 9 - Conclusions, Discussions, and Directions for Future Work

    Pages 235-239

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    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

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Authors

Yang Xing

Research Fellow, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

Chen Lv

Assistant Professor, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

Dongpu Cao

Canada Research Chair in Driver Cognition and Automated Driving, Department of Mechanical and Mechatronics Engineering, University of Waterloo, Canada