Fagen Liu
Papers
1
Total Citations
16
H-Index
1
About
Fagen Liu is a researcher specializing in underwater robotics and computer vision, with a particular focus on binocular vision systems for aquatic environments. His most cited work, "Binocular vision-based underwater ranging methods" (2017, 16 citations), addresses a critical challenge in underwater robotics: accurate depth perception and ranging in visually degraded aquatic settings. Liu’s major contribution lies in developing a novel calibration method for underwater binocular vision, which corrects for the complex optical distortions caused by water refraction—a problem that significantly hampers traditional stereo vision techniques. By improving calibration precision, his research enables underwater robots to perform more reliable navigation, object detection, and manipulation tasks. This work has practical implications for marine exploration, underwater inspection, and autonomous vehicle guidance. While his citation count reflects a focused but emerging impact in the field, Liu’s methodological innovation in underwater calibration stands as a foundational step for advancing vision-based autonomy in challenging subsea environments. His research continues to support the growing demand for robust perception systems in marine robotics.
Research Focus
Key Achievements
Top Papers
- 1Binocular vision-based underwater ranging methods16 citations · 2017