Zeshuai Du
Papers
1
Total Citations
29
H-Index
1
About
Zeshuai Du is a researcher specializing in underwater robotics, computer vision, and marine infrastructure monitoring. His work focuses on developing intelligent detection systems for underwater environments, with particular emphasis on pipeline leakage identification using deep learning techniques. Du's most cited paper, "Research on Detection Method for the Leakage of Underwater Pipeline by YOLOv3" (2020, 29 citations), presents a novel application of the YOLOv3 object detection algorithm to identify oil leaking points in submerged pipelines. This contribution addresses critical challenges in marine development, where underwater robots increasingly perform tasks such as seabed detection, data monitoring, and target recognition. By integrating real-time object detection with autonomous underwater vehicles, Du's research enhances the efficiency and accuracy of environmental hazard detection, reducing reliance on manual inspection. His work has implications for preventing marine pollution and improving the safety of offshore energy infrastructure. Du's achievements demonstrate a practical fusion of artificial intelligence and marine engineering, offering scalable solutions for underwater asset management. His research continues to influence the development of autonomous systems for ocean exploration and environmental protection.
Research Focus
Key Achievements
Top Papers
- 1