自動運転車の理論と実践 Theories and Practices of Self-Driving Vehicles

Zhou, Qingguo/ Shen, Zebang/ Yong, Binbin

Elsevier - Health Sciences Division（2022/07発売）

Elsevier - Health Sciences Division（2022/07発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 342 p.
• 言語 ENG
• 商品コード 9780323994484
• DDC分類 629.2046

Full Description

Self-driving vehicles are a rapidly growing area of research and expertise. Theories and Practice of Self-Driving Vehicles presents a comprehensive introduction to the technology of self driving vehicles across the three domains of perception, planning and control. The title systematically introduces vehicle systems from principles to practice, including basic knowledge of ROS programming, machine and deep learning, as well as basic modules such as environmental perception and sensor fusion. The book introduces advanced control algorithms as well as important areas of new research. This title offers engineers, technicians and students an accessible handbook to the entire stack of technology in a self-driving vehicle.

Theories and Practice of Self-Driving Vehicles presents an introduction to self-driving vehicle technology from principles to practice. Ten chapters cover the full stack of driverless technology for a self-driving vehicle. Written by two authors experienced in both industry and research, this book offers an accessible and systematic introduction to self-driving vehicle technology.

Contents

1. Introduction of Self-driving vehicle system
2. Overview of Robot Operating System (ROS)
3. Position modules
4. State estimation and sensor fusion
5. Machine Learning and Neural Network Fundamentals
6. Deep learning and visual perception
7. Transfer learning and end-to-end driverless driving
8. Getting Started with Autonomous Driving Planning
9. Vehicle models and advanced controls
10. Reinforcement learning and its application in autonomous driving