Robert Diltz

Papers

Total Citations

H-Index

About

Robert Diltz is a researcher advancing autonomous sensing and damage assessment for critical infrastructure, with a focus on airfield operations. His work centers on integrating LiDAR, camera systems, and 6-degree-of-freedom positioning to enable real-time object detection, dimensioning, and geolocation—key capabilities for rapidly restoring airfield functionality after disruptions. Diltz’s most cited paper, “Autonomous, real-time object detection, dimensioning and geolocation using calibrated LiDAR, camera, and 6-DoF positioning system” (2021), demonstrates a multi-modal sensor system designed to detect craters, spall, unexploded ordnance, and debris on damaged runways, directly supporting military readiness. His earlier work, “Scanning LiDAR for airfield damage assessment” (2018), laid the groundwork for rapid post-attack infrastructure evaluation. While his citation counts are modest, Diltz’s contributions are notable for their practical impact on defense and disaster response, offering a scalable approach to automating damage surveys. His research bridges computer vision, robotics, and field deployment, making him a valuable resource for students and engineers interested in real-world applications of autonomous sensing for safety and resilience.