Nannan Li

Chinese Academy of Sciences

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

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Calibration of non-overlapping cameras based on a mobile robot
10 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago