Iacopo Catalano
Papers
2
Total Citations
33
H-Index
2
About
Iacopo Catalano is a researcher advancing autonomous systems through innovative sensor fusion and LiDAR-based perception, with a primary focus on unmanned aerial vehicle (UAV) navigation in GNSS-denied environments. His work addresses a critical challenge in modern robotics: maintaining accurate tracking and situational awareness when satellite positioning is unavailable. Catalano’s major contribution lies in pioneering the use of LiDAR-as-a-camera sensors, which simultaneously provide 3D point clouds and fixed-resolution intensity data, enabling robust UAV tracking without reliance on GPS. His most cited paper, "UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments" (2023), has garnered 30 citations, reflecting its significance in the field. In related work, "Evaluating the Performance of Multi-scan Integration for UAV LiDAR-Based Tracking" (2023), he further explores how integrating multiple LiDAR scans enhances tracking fidelity. Catalano’s research is particularly impactful for applications in search-and-rescue, infrastructure inspection, and autonomous exploration, where reliable perception under degraded conditions is essential. His contributions are shaping the next generation of resilient, sensor-rich autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1UAV Tracking with Lidar as a Camera Sensor in GNSS-Denied Environments30 citations · 2023
- 2