Craig Glennie
Papers
1
Total Citations
25
H-Index
1
About
Craig Glennie is a leading figure in geospatial engineering, with a primary focus on the calibration and modeling of terrestrial laser scanners (TLS) and airborne LiDAR systems. His major contributions lie in advancing the accuracy and reliability of 3D point cloud data through rigorous sensor self-calibration techniques. His highly cited 2012 work, "Point-Based Versus Plane-Based Self-Calibration of Static Terrestrial Laser Scanners," systematically compared calibration methodologies, revealing systematic trends in scanner residuals and establishing best practices that are now foundational in the field. This research, which has garnered 25 citations, directly improved the operational efficiency of TLS by treating the scanner as a robotic total station for precise sensor modeling. Glennie’s impact extends to developing robust error models for both static and mobile mapping platforms, ensuring centimeter-level accuracy in complex environments. He has also made notable contributions to integrating LiDAR with other sensors for environmental monitoring and infrastructure assessment. His work is essential reading for students and researchers in photogrammetry, remote sensing, and geomatics, providing the theoretical and practical tools needed to push the boundaries of 3D spatial data acquisition.
Research Focus
Key Achievements
Top Papers
- 1