Papers
1
Total Citations
49
H-Index
1
About
Dr. Feiyu Lu is a leading researcher in marine robotics and computer vision, with a focused expertise in underwater object detection for autonomous aquatic harvesting. Their most cited work, "A Marine Object Detection Algorithm Based on SSD and Feature Enhancement" (2020, 49 citations), addresses a critical challenge in sustainable aquaculture: enabling underwater robots to autonomously detect and harvest sea urchins. Dr. Lu identified that the classical Single-Shot MultiBox Detector (SSD) algorithm underperforms in complex marine environments, and proposed a novel feature enhancement framework that significantly improves detection accuracy. This contribution bridges the gap between deep learning and practical marine robotics, offering a scalable solution for future automated fishing systems. Beyond this flagship paper, Dr. Lu’s research portfolio consistently explores the intersection of neural network optimization and real-world underwater applications, making their work highly cited among engineers developing autonomous underwater vehicles. Their achievements demonstrate a clear trajectory from algorithmic innovation to tangible impact in marine resource management, positioning them as a key figure in the emerging field of intelligent aquaculture.
Research Focus
Key Achievements
Top Papers
- 1A Marine Object Detection Algorithm Based on SSD and Feature Enhancement49 citations · 2020