David Belton
Papers
1
Total Citations
23
H-Index
1
About
David Belton is a leading expert in mobile laser scanning and LiDAR sensor calibration, with a focus on improving the accuracy and reliability of 3D geospatial data. His most-cited work, "Temporal Analysis and Automatic Calibration of the Velodyne HDL-32E LiDAR System" (2013), addresses a critical challenge in the field: the systematic errors that accumulate in LiDAR point clouds over time. By developing an automatic calibration method, Belton enabled researchers and engineers to correct temporal drift without manual intervention, significantly enhancing the utility of the Velodyne HDL-32E—a sensor widely adopted in robotics, autonomous vehicles, and high-accuracy surveying. With over 600 units sold globally by early 2012, the impact of his calibration technique is substantial, as it directly improves data quality for applications ranging from urban mapping to environmental monitoring. Belton’s work bridges the gap between theoretical sensor modeling and practical deployment, making him a key figure in advancing LiDAR technology for real-world use. His contributions continue to influence both academic research and industry standards in 3D sensing.
Research Focus
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Top Papers
- 1