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Dynamic 3-D Threat Mapping Using a Sensor Constellation Deployed on Mobile Platforms

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-10-C-0075
Agency Tracking Number: A10A-022-0203
Amount: $99,996.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A10A-T022
Solicitation Number: 2010.A
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-09-30
Award End Date (Contract End Date): 2011-03-28
Small Business Information
20 New England Business Center
Andover, MA 01810
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bogdan Cosofret
 Group Leader-Inform.Exploitation
 (978) 689-0003
 cosofret@psicorp.com
Business Contact
 B. David Green
Title: President and CEO
Phone: (978) 689-0003
Email: green@psicorp.com
Research Institution
 University of California, Davis
 David M Miller
 
1850 Research Park Drive Suite 300
Davis, CA 95618
United States

 (530) 754-8206
 Nonprofit College or University
Abstract

Physical Sciences Inc. (PSI) and its partners, Research Support Systems (RSI, a PSI-subsidiary) and Professor Thomas Strohmer of UC Davis, propose to develop an innovative approach that can be employed by an ‘on-the-move’ sensor constellation to determine the size (length, width, and height), absolute geo-location, and 3-D concentration distribution of chemical threat clouds released on battlefields. The available information from such a system will enhance the situational awareness of the warfighter. Through the development of a simulation environment, PSI and its academic partner will develop and demonstrate optimum triangulation and reconstruction algorithms that are robust to pointing uncertainties, noisy and limited projection data from uneven terrains, while at the same time minimizing reconstruction errors and reducing the computational load. A deployable prototype will be developed and demonstrated as part of a follow-on Phase II program. The system (2 or more sensors moving at ~30 mph) will be capable of 3-D cloud reconstructions accounting for total threat mass with less than 30% errors. Threat Center-of-Mass tracks will be accurate to better than 80% while the mobile sensors provide ~0.2º absolute pointing accuracy. 3-D threat reconstructions will be generated once every 90 seconds.

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

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