Enhancing Situational Awareness Anywhere in the World with Geospatially Accurate Scene Simulation using Automated ‘Real World’ Content Generation (Approved for Public Release #19-359)
(Room 320B)
03 Dec 19
4:00 PM
-
4:30 PM
Tracks:
Full Schedule, Tuesday Schedule
Gaming environments have achieved a remarkable level of realism in their simulation of urban environments that make a user feel as if they are a participant within a real-world environment. However, the creators of these gaming environments make liberal use of their artistic licenses, bringing to light that these environments are not real world, just incredible simulations. Training simulators for the military strive to achieve the same artistic environment using real-world content but are caught between realistic training environments and real world data, which is more complex to capture and render in a geodetically correct environment. NGA’s Foundation GEOINT 3D (FG3D) will produce and curate the most current geospatially accurate topographic and 3D feature content (areas, buildings, roads, etc.) to support US military preparation, training, and operational requirements. FG3D will leverage petabytes of imagery, radar, and lidar data to enable geodetically correct simulation of the real world in 3D, achieving the ambition of photorealistic immersive virtual worlds using real world content. FG3D tools transform dense point clouds into efficient, accurate 3D surfaces with correlated vector data, enabling realistic models to be created from real-world, geospatially accurate data. FG3D is built upon the Geospatial Repository and Information Dissemination (GRiD) open architecture and thereby fully operationally seasoned and scalable. Various metrics exist in 2D and 3D but are insufficient. FG3D is developing novel metrics to quantify and qualify the accuracy and completeness of the 3D vector representation of a simulation. In contrast to existing metrics, FG3D seeks to describe the visual acuity of the scene content through extension of the Polygons-and-Line-Segments (PoLiS) metric to provide superior shape analytics. This novel metric will have built-in tuning capabilities thereby enabling the analyst to customize the measured outcomes to meet their specific thresholds of the 3D surfaces created from FG3D.