Yuxin Pan
Papers
1
Total Citations
4
H-Index
1
About
Yuxin Pan is a researcher specializing in computer vision and robotics, with a primary focus on visual simultaneous localization and mapping (SLAM) in dynamic environments. Their major contribution is the development of RDS-SLAM, a lightweight real-time semantic mapping system that extends ORB-SLAM2 by integrating object detection, tracking, and prediction to handle dynamic scenarios. This work enables accurate pose estimation and object-level semantic map construction using only a standard CPU, making it practical for real-world applications. The system’s three key architectural improvements—detection, tracking, and prediction—address a critical challenge in SLAM: robustness in scenes with moving objects. While their most-cited paper has garnered 4 citations, Pan’s work represents an important step toward making semantic SLAM accessible without specialized hardware, with potential applications in autonomous navigation, augmented reality, and service robotics. Their research bridges the gap between theoretical SLAM advances and deployable systems, offering a practical solution for dynamic environments that has inspired further work in efficient, real-time visual perception.
Research Focus
Key Achievements
Top Papers
- 1