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Elsevier

Motion Planning and Dynamic Control of Autonomous Vehicles

  • 1st Edition - January 1, 2027
  • Latest edition
  • Authors: Fei Liu, Xintian Liu, Huanhuan Zhang, Xu Wang, Xiaolan Wang
  • Language: English

In recent years, autonomous driving technology has made significant progress. Motion Planning and Dynamic Control of Autonomous Vehicles systematically discusses the content of veh… Read more

Description

In recent years, autonomous driving technology has made significant progress. Motion Planning and Dynamic Control of Autonomous Vehicles systematically discusses the content of vehicle autonomous driving motion planning, dynamic control, and testing, and integrates cutting-edge technologies in the field of autonomous driving vehicle technology research and practice. It provides a source of information for both academic researchers and those working in industry on technological applications

Key features

  • Provides a detailed discussion of the motion planning methods, dynamic control algorithm design, and experimental verification process for autonomous vehicles in urban structured road scenarios, as well as other research hotspots
  • By combining theoretical frameworks with practical insights, this book takes the perspective of actual development of autonomous vehicles and systematically introduces and discusses the content of motion planning, vehicle dynamic control, and experimentation involved in the development process of autonomous vehicles
  • Provides researchers with an in-depth overview of autonomous driving - both from a theoretical and a practical perspective

Readership

Industry professionals and engineers involved in the automotive driving field

Table of contents

1. The current research status of motion planning and dynamic control of autonomous vehicles

2. Trajectory motion planning for typical driving behaviors

3. Trajectory re-planning and optimization

4. The design of longitudinal control algorithm for autonomous vehicles

5. The design of lateral control algorithm for autonomous vehicles

6. The experimental verification platform and dynamic performance analysis

Product details

  • Edition: 1
  • Latest edition
  • Published: January 1, 2027
  • Language: English

About the authors

FL

Fei Liu

Dr Liu is a Professor at the Department of Automotive Engineering, School of Mechanical and Automotive Engineering, Shanghai University of Engineering and Technology. He primarily engages in research on vehicle power transmission and intelligent control, autonomous vehicles decision-making and control, and key technologies for system optimization and control of new energy vehicles
Affiliations and expertise
Professor, Department of Automotive Engineering, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China

XL

Xintian Liu

Dr Liu Xintian is the Vice Dean of the School of Mechanical and Automotive Engineering at Shanghai University of Engineering Science, and also serves as a member of the Modern Management Branch of China Society of Automotive Engineering and the Automotive Reliability Professional Committee of Shanghai Society of Automotive Engineering
Affiliations and expertise
Vice Dean, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China

HZ

Huanhuan Zhang

Dr Huanhuan Zhang received her Ph.D. degree from Jilin University, China. She is currently a lecturer at the School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China. Her research interests include automotive system dynamics, distributed drive vehicles, and intelligent vehicle motion trajectory control
Affiliations and expertise
Lecturer, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China

XW

Xu Wang

Xu Wang received her Ph.D. degree in pattern recognition and intelligent system in 2013 from Donghua University, China. She is currently a lecturer at the School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China. Her research interests include prediction methods, evolutionary computation, optimization methods, deep learning and their application
Affiliations and expertise
Lecturer, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, China

XW

Xiaolan Wang

Dr Xiaolan Wang is a lecturer with the School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China. Her research interests include intelligent vehicles, driving assistance systems, and driver behavior
Affiliations and expertise
Lecturer, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China