Presentation
12 June 2023 Impact of rigorous modeling for a Geiger-mode light detection and ranging (LiDAR) system on identifying uncalibrated component error sources and Total Propagated Uncertainty (TPU)
Author Affiliations +
Abstract
The Army's High-Castle (HC) Airborne testbed 2021 flight campaign collected 3D point cloud data derived from a Geiger-mode LiDAR system. While the 3D data exhibited exceptional resolution of 3D ground targets, the horizontal resolution was 3-4 times worse than theoretical limits. The sources of resolution degradation remain a current research and calibration study. This paper presents a comprehensive virtual Kinematically Linked Model Framework that rigorously models the physical components of HC testbed hardware and the propagation of component errors on derived 3D point cloud products. In-depth examples of component errors and their impact on resolution degradation are presented.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Ober "Impact of rigorous modeling for a Geiger-mode light detection and ranging (LiDAR) system on identifying uncalibrated component error sources and Total Propagated Uncertainty (TPU)", Proc. SPIE 12537, Laser Radar Technology and Applications XXVIII, 1253707 (12 June 2023); https://doi.org/10.1117/12.2667837
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KEYWORDS
3D modeling

LIDAR

Modeling

Point clouds

System identification

3D acquisition

Error analysis

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