Papers
6
Total Citations
82
H-Index
4
About
Dr. Qifeng Yu is a leading researcher in computer vision and robotics, specializing in 3D object pose tracking, camera calibration, and vision-based structural monitoring. His most impactful work includes the development of a vision monitoring system for large-span bridges, which uses a camera network to measure multipoint deflection with high accuracy—a paper that has garnered 37 citations since 2023. Dr. Yu has made significant contributions to robust monocular pose tracking, addressing challenges like large pose shifts and visual range variations, which are critical for robotic manipulation and autonomous navigation. His 2022 paper on monocular pose tracking for large pose shifts has been cited 18 times, demonstrating its influence. Additionally, his work on minimal solutions for rotational alignment of IMU-camera systems (17 citations) and image-registration-based solar meridian detection for polarization navigation showcases his versatility. Dr. Yu’s research bridges theoretical advances and practical applications, from infrastructure safety to robot guidance, with a total of over 80 citations across his top papers. His achievements highlight his role in advancing robust, real-time vision systems for complex real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust and Accurate Monocular Pose Tracking for Large Pose Shift18 citations · 2022
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- 6Solving Generalized Pose Problem of Central and Non-central Cameras1 citations · 2023