Nannan Li
Papers
1
Total Citations
10
H-Index
1
About
Nannan Li is a researcher specializing in computer vision and robotics, with a particular focus on multi-camera calibration and autonomous systems. Her most cited work, "Calibration of non-overlapping cameras based on a mobile robot" (2015, 10 citations), introduces an innovative framework for calibrating cameras with non-overlapping fields of view—a persistent challenge in robotics and surveillance. By leveraging a mobile robot to establish spatial relationships between cameras, Li’s method enables precise extrinsic calibration without requiring shared visual features, significantly enhancing the flexibility and accuracy of multi-camera setups. This contribution has practical implications for applications such as autonomous navigation, 3D reconstruction, and wide-area monitoring, where overlapping views are often unavailable. Li’s work demonstrates a creative integration of robotic motion and calibration theory, offering a scalable solution for real-world systems. Her research underscores the importance of bridging hardware constraints with algorithmic design, making her a notable figure in the advancement of calibration techniques for non-overlapping camera networks.
Research Focus
Key Achievements
Top Papers
- 1Calibration of non-overlapping cameras based on a mobile robot10 citations · 2015