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Synthetic Scene Generation for Wide Application including High Performance Computing Environments

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9451-19-P-0666
Agency Tracking Number: F19A-007-0147
Amount: $149,947.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF19A-T007
Solicitation Number: 19.A
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-20
Award End Date (Contract End Date): 2020-06-20
Small Business Information
6565 Americas Parkway NE, Suite 925
Albuquerque, NM 87110
United States
DUNS: 092174635
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Garrett Alston
 Software Engineer
 (877) 763-8268
Business Contact
 David Myers
Phone: (877) 763-8268
Research Institution
 Georgia Tech Research Institute
 Keith Prussing Keith Prussing
505 Tenth Street NW
Atlanta, GA 30332
United States

 (404) 594-0950
 Nonprofit College or University

We will deliver a new software architecture for scene generation named the Realistic Image and Neighborhood Generator (RING). Instead of being tied to a single tool, RING will provide interfaces suitable for a wide variety of image and scene rendering tools to run and interact with other codes. As an initial implementation of the interfaces, we will incorporate Stellar Science’s powerful, flexible Abstract Model Interface (AMI) ray tracing software and the state-of-the-art synthetic background scene generation components from Georgia Tech Simulations Integrated Modeling System (GTSIMS) into RING. RING will run with Stellar Science’s Galaxy Coupling Manager, which is a modular, high-performance computing (HPC) compatible simulation framework suitable for performing a wide variety of multi-physics simulations. The total scene generation platform will address current needs of directed energy and will also be flexible enough to be adopted and extended by other research communities. Concurrent with the development of RING, GTRI will conduct research into the challenging problem of realistic cloud modeling for scene generation. The research will begin with attempts to enter dynamic elements into the current static cloud model used by GTSIMS. The fruits of the research will be fully incorporated into RING in Phase II.

* Information listed above is at the time of submission. *

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