Transforming 3D Reconnaissance Data into Geospatial Intelligence

Primal Space Systems (PSS) will prototype the GPEG.MIL (Geometry Pump Engine Group) protocol for efficient 3D geospatial data streaming over constrained tactical networks. The Phase I effort will demonstrate that the unique method of encoding and streaming this 3D data as visibility event (VE) packets could provide a >5x reduction in bandwidth requirements for streaming large urban canyon data sets. PSS will also demonstrate that the GPEG.MIL VE data stream will significantly improve the performance of 3D map-matching algorithms, enabling more rapid and precise (sub-meter) localization when matching to LiDAR data from low altitude unmanned aerial systems.This innovative approach eliminates a large amount of irrelevant, occluded data from the delivery stream as well as the downstream processing pipelines. The GPEG.MIL VE data stream will allow virtually instant, on-demand access to the relevant 3D geospatial data required for analysis, mission planning and precision GPS-denied navigation.For tactical visualization, the GPEG.MIL VE protocol will deliver virtually instant remote access to massive 3D geospatial data and support enhanced client-side rendering performance.For GPS-denied navigation, the GPEG.MIL data stream will deliver the data needed to enable more performant 3D map-matching algorithms supporting agile, intelligent autonomous operations deep into GPS-denied areas.