Xin Luan
Papers
4
Total Citations
174
H-Index
3
About
Dr. Xin Luan is a leading researcher in underwater robotics and computer vision, whose work directly addresses the critical challenges of operating autonomous systems in complex marine environments. Her primary research areas include underwater image enhancement, robotic control, and color-based object recognition. Dr. Luan’s most impactful contribution is her pioneering work on underwater image co-enhancement, detailed in her 2021 paper with 159 citations. This research introduces a novel framework that uses correlation feature matching and joint learning to correct the severe color distortion and low contrast caused by light absorption and scattering in water—a fundamental problem for all underwater vision tasks. Beyond image processing, she has advanced the precise control of underwater gliders, particularly their pitch accuracy when navigating through the disruptive pycnocline layer, a key achievement for reliable ocean current observation. Her earlier work on illumination-invariant color models for robot soccer has also laid groundwork for robust object recognition in variable lighting. Through these contributions, Dr. Luan is shaping the future of autonomous marine exploration and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Illumination Invariant Color Model for Object Recognition in Robot Soccer10 citations · 2010
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