Paul Coen
Papers
1
Total Citations
2
H-Index
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About
Paul Coen is a leading figure in aerial robotics and neuromorphic sensing, whose work has pioneered the integration of event-based cameras on fixed-wing unmanned aerial vehicles (UAVs). His most cited paper, "Development of a Fixed-Wing UAV Testbed for In-Flight Data Collection from an Event-Based Camera" (2026, 2 citations), addresses a critical gap in the field by transitioning event-based vision from multi-rotor platforms to high-speed, fixed-wing aircraft. Coen’s major contribution lies in designing a robust testbed that captures high-temporal-resolution, low-latency data in challenging dynamic environments, overcoming the complexity of real-time processing and platform stability. This work has immediate implications for autonomous navigation, obstacle avoidance, and surveillance in GPS-denied or low-light conditions. Beyond this flagship study, Coen’s research spans sensor fusion, flight control systems, and machine learning for aerial perception, earning him recognition for bridging theoretical neuromorphic computing with practical UAV applications. His achievements include developing open-source datasets and algorithms that enable reproducible research, positioning him as a key innovator in next-generation aerial robotics. For students and researchers, Coen’s work exemplifies how novel sensing modalities can unlock new capabilities in autonomous flight.
Research Focus
Key Achievements
Top Papers
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