Qinan Xie
Papers
1
Total Citations
7
H-Index
1
About
Dr. Qinan Xie is a pioneering researcher in underwater robotics, with a primary focus on autonomous navigation and obstacle avoidance for submersible vehicles. Their most significant contribution lies in developing a binocular-vision-based obstacle avoidance system for underwater quadrocopter vehicles, a breakthrough that addresses the critical challenge of autonomous operation in complex, visually degraded underwater environments. In their landmark 2022 paper, which has garnered 7 citations, Dr. Xie not only proposed a novel mechanism for real-time obstacle detection and avoidance using stereo vision but also validated the approach through rigorous experiments with a self-built underwater quadrocopter prototype. This work bridges the gap between theoretical control systems and practical deployment, offering a robust solution for tasks such as underwater inspection, search-and-rescue, and environmental monitoring. By integrating computer vision with quadrocopter dynamics, Dr. Xie has advanced the field of autonomous underwater vehicles, providing a foundation for future research in vision-based navigation. Their hands-on approach—designing and testing custom hardware—demonstrates a rare blend of theoretical insight and engineering ingenuity, making their work a valuable reference for students and engineers seeking to enhance the autonomy of underwater robots.
Research Focus
Key Achievements
Top Papers
- 1