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Enhanced Scene Reasoner

Award Information
Agency: Department of Defense
Branch: Army
Contract: W909MY-19-P-0012
Agency Tracking Number: A191-044-0312
Amount: $107,997.58
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A19-044
Solicitation Number: 19.1
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-05-29
Award End Date (Contract End Date): 2020-03-09
Small Business Information
1845 West 205th Street
Torrance, CA 90501
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Armen Gholian
 Research Scientist
 (310) 320-3088
Business Contact
 Keith Baker
Phone: (424) 835-9475
Research Institution

To address the Army’s need for an automated semantic reasoner capable of using logical rules to deduce a local world model from a changing knowledge base consisting of multi-modal data that also utilize online learning techniques to adapt to changing environments, Physical Optics Corporation (POC) proposes to develop a new Enhanced Scene Reasoner (ESR) algorithm suite. It is based on a new system design that incorporates relation discovery, relation reasoning, and novel use of an architecture to learn from one unknown class only. This enables ESR to locate and identify entities of a scene, determine and reason relations between any two entities, and evaluate and display correctness of classification based on its reasoning. ESR will report results to a user who provides man-in-the-loop feedback to improve the reasoner’s and classifier’s performance. The ESR suite of algorithms offers a 100x reduction in rate of incorrect classification of prominent objects and regions compared to a baseline, which directly address the Army’s Phase III Next Generation Combat Vehicle and Soldier Lethality modernization requirements. In Phase I, POC will demonstrate the feasibility of ESR by reaching technology readiness level (TRL)-3. In Phase II, POC plans to develop an ESR prototype algorithm suite reaching TRL-6.

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

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