Dorina Ismaili

Papers

1

Total Citations

19

H-Index

1

About

Dorina Ismaili is a leading researcher in robotic perception and multi-camera systems, best known for pioneering methods in 3D trajectory reconstruction from ad-hoc camera networks. Her most cited work, "Reconstruction of 3D flight trajectories from ad-hoc camera networks" (2020, 19 citations), introduces a groundbreaking approach to tracking airborne robotic systems using unsynchronized cameras with unknown viewpoints and rolling shutter distortion. This innovation enables robust, accurate outside-in tracking of dynamically flying robots, solving a critical challenge in real-world robotic applications where traditional motion capture systems are impractical. Ismaili’s contributions have significant implications for swarm robotics, aerial surveillance, and autonomous navigation, providing a cost-effective solution for outdoor and unstructured environments. Her work bridges computer vision and robotics, demonstrating how imperfect, consumer-grade cameras can be leveraged for high-precision tracking. With growing citation impact, Ismaili is recognized for advancing the reliability of robotic systems in complex, real-world settings, making her a key figure in the development of flexible, scalable perception technologies for autonomous agents.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Reconstruction of 3D flight trajectories from ad-hoc camera networks
19 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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