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Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8750-16-C-0230
Agency Tracking Number: F16A-T12-0146
Amount: $149,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF16-AT12
Solicitation Number: 2016.0
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-15
Award End Date (Contract End Date): 2017-04-22
Small Business Information
1818 Library Street
Reston, VA 20190
United States
DUNS: 107939233
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeffrey Silver
 (703) 326-2915
Business Contact
 Seth Blackwell
Phone: (703) 326-2907
Research Institution
 Portland State University
 Jennifer Ward
PO Box 751 (SPA)
Portland, OR 97207
United States

 (503) 725-8308
 Nonprofit College or University

Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capability to detect and track in multi-sensor environments when unknown events or targets enter the scene.

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

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