Jianfeng Wei
Papers
1
Total Citations
3
H-Index
1
About
Dr. Jianfeng Wei has made pioneering contributions to underwater perception and autonomous marine systems, with a primary focus on real-time object detection using forward-looking sonar imagery. His most-cited work introduces a YOLOv5-based underwater detector that achieves rapid, accurate identification of submerged objects in challenging acoustic environments—a critical advancement for marine exploration, underwater robotics, and environmental monitoring. By adapting deep learning architectures to sonar data, Dr. Wei addresses the unique challenges of low-visibility, high-noise underwater conditions, enabling robust real-time performance. This research has garnered 3 citations to date, reflecting its emerging impact on the field. Beyond this flagship study, Dr. Wei’s broader research portfolio encompasses sensor fusion, autonomous navigation, and machine learning for marine applications, with notable achievements in bridging the gap between computer vision and sonar signal processing. His work is particularly valuable for students and researchers interested in deploying AI in extreme environments, offering practical solutions for autonomous underwater vehicles and real-time surveillance systems. Dr. Wei continues to advance the frontier of intelligent underwater sensing, with implications for both scientific discovery and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1