Xiaoyu She
Papers
1
Total Citations
2
H-Index
1
About
Xiaoyu She is a researcher focused on advancing visual simultaneous localization and mapping (SLAM) for robotics, with particular expertise in monocular SLAM initialization techniques. Her most cited work, "Passive Initialization Method Based on Motion Characteristics for Monocular SLAM" (2019), addresses a critical bottleneck in robotic perception: the slow and unreliable startup of monocular SLAM systems. She proposed a novel passive initialization method that leverages motion characteristics to improve both the timeliness and success rate of system initialization, overcoming the limitations of traditional algorithms that struggle with problematic initialization times and low success rates. While her citation count is currently modest at 2 for this paper, the work represents a meaningful contribution to making monocular SLAM more practical for real-world robotics applications where rapid and reliable startup is essential. She continues to explore solutions that enhance the robustness and efficiency of visual SLAM systems, contributing to the broader goal of enabling robots to estimate position and attitude more effectively in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1