Kathryn Patterson
Papers
1
Total Citations
2
H-Index
1
About
Kathryn Patterson’s research sits at the intersection of autonomous sensing, geolocation, and real-time environmental assessment. Her most cited work, “Autonomous, real-time object detection, dimensioning and geolocation using calibrated LiDAR, camera, and 6-DoF positioning system” (2021), introduces a multi-modal sensor fusion approach that integrates camera, LiDAR, and positioning data to detect, dimension, and geolocate objects in real time. This system was designed to address a critical operational challenge: rapidly assessing damage and detecting foreign objects on disrupted airfields to reestablish minimum airfield operations. By calibrating these disparate sensors into a cohesive, 6-degree-of-freedom framework, Patterson’s work enables autonomous platforms to navigate and evaluate hazardous environments without human intervention. While her citation count is still growing—reflecting the emerging nature of this applied field—the practical significance of her contribution is clear. Her research directly supports defense and disaster-response applications, where speed and accuracy in object detection can be life-saving. Patterson’s work exemplifies how sensor integration and real-time processing can transform autonomous systems from laboratory concepts into field-ready tools for critical infrastructure assessment.
Research Focus
Key Achievements
Top Papers
- 1