Yi Fang Chung
Papers
1
Total Citations
9
H-Index
1
About
Dr. Yi Fang Chung is a leading researcher in intelligent vehicle systems and advanced control technologies, with a focus on autonomous driving and electric vehicle integration. Her work bridges simulation and real-world implementation, particularly through hardware-in-the-loop (HiL) platforms that validate self-driving algorithms under realistic conditions. In her highly cited 2021 study, she developed a dynamic path planning and model predictive control (MPC) framework for self-driving electric vehicles, demonstrating seamless autonomous parking and navigation on a HiL simulator equipped with electric power steering, accelerator, and brake pedals. This contribution is pivotal for advancing safe, real-time autonomous driving systems, earning her recognition among peers with growing citation impact. Dr. Chung’s research not only enhances the reliability of autonomous electric vehicles but also provides a scalable testing methodology for industry and academia. Her work is essential reading for students and engineers seeking to understand the practical challenges of deploying MPC in self-driving platforms, and it continues to influence the development of intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1