Motion Planning and Dynamic Control of Autonomous Vehicles
- 1 Edición - 1 de enero de 2027
- Última edición
- Autores: Fei Liu, Xintian Liu, Huanhuan Zhang, Xu Wang, Xiaolan Wang
- Idioma: Inglés
Motion Planning and Dynamic Control of Autonomous Vehicles systematically discusses the content of vehicle autonomous driving motion planning, dynamic control, and testing while… Leer más
Descripción
Descripción
Motion Planning and Dynamic Control of Autonomous Vehicles systematically discusses the content of vehicle autonomous driving motion planning, dynamic control, and testing while also integrating cutting-edge technologies in the field of autonomous driving vehicle technology research and practice. The book provides a source of information for both academic researchers and those working in industry on technological applications.
Puntos claves
Puntos claves
- Provides a detailed discussion of motion planning methods, dynamic control algorithm design, and experimental verification process for autonomous vehicles in urban structured road scenarios, as well as in other research hotspots
- Combines theoretical frameworks with practical insights, taking the perspective of actual development of autonomous vehicles
- 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
De interès para
De interès para
Industry professionals and engineers involved in the automotive driving field
Índice
Índice
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
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
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 1 de enero de 2027
- Idioma: Inglés
Sobre los autores
Sobre los autores
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
Afiliaciones y experiencia
Professor, Department of Automotive Engineering, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, ChinaXL
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
Afiliaciones y experiencia
Vice Dean, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, ChinaHZ
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
Afiliaciones y experiencia
Lecturer, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, ChinaXW
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
Afiliaciones y experiencia
Lecturer, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, ChinaXW
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
Afiliaciones y experiencia
Lecturer, School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China