Papers
1
Total Citations
59
H-Index
1
About
Jiye Yin is a leading researcher in underwater robotics and computer vision, with a focus on enabling autonomous systems to operate effectively in challenging subsea environments. Their most-cited work, "Real-Time Underwater Onboard Vision Sensing System for Robotic Gripping" (2020, 59 citations), introduces a novel real-time vision sensing system that integrates an efficient Retinex-based image enhancement method. This breakthrough allows underwater robots to capture clear, high-quality visuals of the seabed, significantly improving their ability to perceive and interact with objects during gripping tasks. By tackling the persistent problem of poor visibility in underwater settings, Yin’s contributions have advanced the practical deployment of autonomous robotic systems in marine exploration and industrial applications. Their research bridges the gap between theoretical computer vision and real-world robotic manipulation, demonstrating measurable impact through citations and laying the groundwork for more robust, vision-guided underwater operations. Yin’s work is essential reading for students and researchers interested in the intersection of marine robotics, sensor systems, and image processing.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Underwater Onboard Vision Sensing System for Robotic Gripping59 citations · 2020