Changdong Yu
Papers
1
Total Citations
29
H-Index
1
About
Changdong Yu is a leading researcher in underwater robotics and computer vision, with a primary focus on advancing marine biological monitoring through artificial intelligence. His most impactful work centers on developing high-accuracy detection methods for small, fast-moving aquatic organisms—a persistent challenge in autonomous underwater systems. In his landmark 2024 paper, "YOLO8-FASG: A High-Accuracy Fish Identification Method for Underwater Robotic System," Yu introduced a novel approach that enhances detection flexibility and receptive field to overcome the difficulties posed by small fish occupying minimal screen space. This work has already garnered 29 citations, reflecting its immediate relevance to the field. Yu’s contributions are pivotal for improving the autonomy and precision of underwater robotic platforms used in ecological surveys and fisheries management. By tackling the intersection of real-time object detection and marine robotics, he is enabling more reliable data collection in complex underwater environments. His research not only advances computer vision algorithms but also supports sustainable ocean resource management, making him a key figure in the growing field of AI-driven marine science.
Research Focus
Key Achievements
Top Papers
- 1