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Compressed Parallel Architecture for AR/VR Training in Data Constrained Terrain (COMPACT)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-20-P-0051
Agency Tracking Number: A193-139-0229
Amount: $111,478.59
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A19-139
Solicitation Number: 19.3
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-05-27
Award End Date (Contract End Date): 2020-12-30
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 B Adrian Flowers
 (617) 491-3474
Business Contact
 Yvonne Fuller
Phone: (617) 491-3474
Research Institution

We propose to design and demonstrate a Compressed Parallel Architecture (COMPACT) for scalable AR/VR training at the point of need. Using a system that Charles River Analytics has demonstrated can support over 15 million simulated entities, COMPACT will provide a low latency solution that can be used in data constrained environments. COMPACT builds upon innovative methods for optimization, tailored to the specific needs of Warfighters using the Synthetic Training Environment (STE). COMPACT achieves optimization through a focus on data compression, and prioritizing data transmission over bandwidth-restricted channels. These optimizations enable COMPACT to support a broad array of environmental conditions (e.g., massive numbers of entities in a Megacity environment) that would otherwise be infeasible to support. COMPACT includes a customizable benchmarking tool, enabling review of its optimization performance. COMPACT will enable the representation of more realistic, immersive, and interactive training environments, helping to ensure that training will transfer to real-world conditions.

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

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