Hongyue Men
Papers
1
Total Citations
3
H-Index
1
About
Hongyue Men is a researcher in computer vision and autonomous robotics, with a focus on depth perception and stereo vision systems. Their most cited work, "Depth hole filling and optimizing method based on binocular parallax image" (2023), addresses a critical challenge in environment perception for autonomous robots: the incomplete depth information caused by unmatched points in binocular stereo matching algorithms. By developing a method to fill and optimize depth holes in disparity images, Men contributes to more reliable spatial understanding for robots operating in dynamic environments. This work, with 3 citations, lays foundational groundwork for improving the robustness of stereo vision in real-world applications. Men’s research is particularly relevant to the growing field of autonomous navigation, where accurate depth perception is essential for tasks like obstacle avoidance and path planning. Their contributions highlight the ongoing effort to refine sensor-based perception systems, making autonomous robots safer and more effective in complex settings.
Research Focus
Key Achievements
Top Papers
- 1