Real-Time Topobathy Mapping Including Total Propagated Uncertainty Using Waveform-Resolved Airborne Lidar

Thomas Craney

Thomas Craney Georgia Tech Research Institute

12F

Georgia Tech Research Institute (GTRI) has developed novel lidar-processing algorithms capable of producing real-time point clouds attributed with total propagated uncertainty (TPU). These algorithms have been realized in a ?mixed-mode? computing architecture consisting of a field-programmable gate array (FPGA), central processing unit (CPU), and graphics processing unit (GPU). Noise reduction and ranging are performed in the FPGA; coordinates are computed in the CPU; and TPU is computed on the GPU. This computing architecture serves as the real-time computing engine (RTCE) for GTRI?s waveform-resolved, airborne-lidar-bathymetry (ALB) systems. The RTCE produces geo-registered 3D point data attributed with National Geospatial-Intelligence Agency (NGA)-compliant accuracy assessments (TPU) in under 50 milliseconds while the system operates. Lidar points are visualized in a software operator interface in real-time, classified as land or water, and may be dynamically queried and colored by altitude or TPU. The resulting real-time data products provide system operators and decision makers with immediate, actionable intelligence and facilitate rapid turnaround of post-processed data products. Future RTCE-based data products include water-column voxelization, 3D common-operating-picture generation, and augmented-reality visualizations.

10:45 Real-Time Topobathy Mapping Including Total Propagated Uncertainty Using Waveform-Resolved Airborne Lidar, Thomas Craney

January 29 @ 10:45
10:45 — 11:00 (15′)

Granite ABC

Thomas Craney

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