Brian M. Robinson
Papers
2
Total Citations
4
H-Index
2
About
Brian M. Robinson is a researcher specializing in autonomous sensing systems for critical infrastructure assessment, with a primary focus on airfield damage detection and rapid repair operations. His work integrates LiDAR, camera, and 6-DoF positioning technologies to create multi-modal sensor systems capable of real-time object detection, dimensioning, and geolocation. Robinson’s key contributions include developing methods for scanning LiDAR to identify craters, spall, unexploded ordnance, and debris on disrupted runways—enabling faster, safer deployment of repair assets after attacks. His 2018 paper on scanning LiDAR for airfield damage assessment and his 2021 study on autonomous, real-time object detection using calibrated sensors each garnered 2 citations, reflecting foundational work in a niche but strategically vital field. By combining sensor fusion with precise positioning, Robinson’s research advances the goal of automating damage surveys to reestablish minimum airfield operations under time-critical conditions. His achievements lie in bridging remote sensing, robotics, and military engineering, offering practical solutions for defense and disaster response.
Research Focus
Key Achievements
Top Papers
- 1Scanning LiDAR for airfield damage assessment2 citations · 2018
- 2