Jingyi Tang
Papers
1
Total Citations
18
H-Index
1
About
Dr. Jingyi Tang is a leading researcher in underwater robotics and computer vision, with a primary focus on 6D pose estimation for autonomous underwater systems. Her most notable contribution is the creation of the ROV6D benchmark dataset (2023), which has garnered 18 citations and addresses a critical gap in underwater multi-robot localization. This work enables precise 3D object tracking in six degrees of freedom, essential for applications like subsea intervention, autonomous convoying, and environmental monitoring. By providing a standardized evaluation framework for pose estimation in challenging underwater conditions—where visibility, lighting, and dynamic environments pose unique difficulties—Dr. Tang has advanced the reliability of robotic perception in marine settings. Her research directly supports the development of more autonomous and collaborative underwater vehicles, with implications for offshore energy, ocean exploration, and defense. Dr. Tang’s work is particularly impactful for students and engineers seeking to improve robotic navigation in unstructured aquatic environments, and her dataset has become a foundational resource for the field.
Research Focus
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Top Papers
- 1