Guoen Wang
Papers
1
Total Citations
2
H-Index
1
About
Guoen Wang is a leading researcher in underwater robotics and intelligent perception systems, with a primary focus on advancing autonomous underwater target detection and tracking technologies. His most cited work, "Research on underwater target tracking method combining deep learning and kernel correlation filtering" (2024), addresses a critical challenge in underwater robotics: enabling reliable, real-time object tracking in complex aquatic environments. By integrating deep learning-based detection with kernel correlation filtering, Wang’s approach significantly improves tracking accuracy and robustness under low-visibility and dynamic conditions—a key enabler for autonomous underwater vehicle operations. His contributions bridge the gap between computer vision and marine robotics, offering practical solutions for tasks like environmental monitoring and underwater infrastructure inspection. With growing citation impact, Wang’s research is shaping the next generation of intelligent underwater systems, and his work is increasingly recognized for its potential in both academic and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1