Yunpeng Ma
Papers
2
Total Citations
60
H-Index
2
About
Yunpeng Ma is a leading researcher in underwater robotics and computer vision, with a primary focus on stereo vision systems for structural inspection. His most impactful contribution is the development of a remotely operated vehicle (ROV)-based binocular vision system for underwater structure crack detection and width measurement, published in 2022 and cited 53 times—a testament to its significance in marine infrastructure maintenance. This work addresses the critical challenge of automating underwater inspections, enabling precise, non-contact measurement of structural defects in challenging environments. Ma’s earlier research on stereo matching, featuring a census cost over cross window and segmentation-based disparity refinement, laid foundational methods for improving 3D reconstruction accuracy in applications ranging from robot navigation to industrial measurement. His techniques enhance the practicality of stereo vision systems by reducing computational complexity while maintaining high precision. Through these contributions, Ma has advanced the field of underwater visual inspection, offering robust solutions for real-world engineering challenges. His work continues to influence researchers and engineers developing autonomous systems for hazardous or inaccessible environments.
Research Focus
Key Achievements
Top Papers
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