Logan Cannan
Papers
1
Total Citations
2
H-Index
1
About
Logan Cannan’s research lies at the intersection of autonomous systems, sensor fusion, and real-time geospatial intelligence, with a primary focus on enhancing airfield safety and operational resilience. His most cited work introduces a pioneering multi-modal sensor system that integrates calibrated LiDAR, camera, and 6-DoF positioning to achieve autonomous, real-time object detection, dimensioning, and geolocation. This system was specifically designed to assess damage and detect foreign objects on disrupted airfield surfaces, enabling rapid reestablishment of minimum airfield operations. By fusing data from multiple sensors, Cannan’s approach delivers robust performance in challenging environments, offering a scalable solution for defense and disaster-response applications. Though early in his career—his flagship paper has garnered 2 citations—the work’s practical relevance and technical novelty signal strong potential for future impact. Cannan’s contributions exemplify how precise sensor calibration and real-time processing can transform situational awareness, making him a promising voice in autonomous field assessment and infrastructure monitoring.
Research Focus
Key Achievements
Top Papers
- 1