Tingfeng Ye
Papers
1
Total Citations
3
H-Index
1
About
Dr. Tingfeng Ye is a researcher whose work bridges intelligent transportation systems and robotic automation, with a particular focus on vehicle pose estimation for clamping parking robots. His most cited paper, "Vehicle Pose Estimation System Based on Pressure Sensor Array for Clamping Parking Robot" (2021), addresses a critical challenge in automated parking: accurately detecting a vehicle’s position and orientation without relying on expensive laser scanners. By proposing a cost-effective pressure sensor array approach, Ye’s work offers a practical alternative that maintains high precision while significantly reducing system costs—a contribution that holds promise for scalable smart parking solutions. Though his citation count is still growing, with 3 citations for this key paper, the research demonstrates a clear impact on the field of robotic perception and sensor fusion. Ye’s work is particularly notable for its engineering pragmatism, targeting real-world deployment constraints. For students and researchers exploring affordable automation or intelligent infrastructure, Tingfeng Ye’s contributions offer a valuable case study in balancing accuracy, cost, and functionality in robotic systems.
Research Focus
Key Achievements
Top Papers
- 1