Advanced Data Fusion

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$2,100,000.00
Award Year:
2007
Program:
SBIR
Phase:
Phase II
Contract:
HQ0006-07-C-7610
Award Id:
78316
Agency Tracking Number:
053-0652
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
Jessica Bradley
Manager, Intelligent Agen
(703) 682-1735
jessica.bradley@dac.us
Business Contact:
Kelly McClelland
Director, Corporate Busin
(703) 414-5024
kelly.mcclelland@dac.us
Research Institution:
n/a
Abstract
In working with our Phase I sponsor, we identified a clear opportunity to develop an advanced BMDS Human Machine Interface (HMI) mockup that can serve as the platform for testing, training, and refinement of advanced algorithms in the BMDS. We will build out the results of our Phase I algorithm development efforts and integrate them into a fully transportable HMI mockup. The mockup will provide an open architecture that can interoperate with advanced BMDS algorithms being developed under this and other efforts. This mockup will provide four key benefits. First, it will be used to develop and refine HMI screens to support operator functions and capabilities. Secondly, it will be used for HMI developers to collaborate and test their interfaces in an open environment. Thirdly, it will provide algorithm developers a forum for evaluating operator interactions with the algorithms (for understanding the human component of the data fusion process) and for refining the format in which their algorithms provide information to the HMI components. Finally, it will provide heavyweight and lightweight simulation capabilities for testing algorithms in an integrated environment. This effort, with advanced fusion algorithms and a strong prime contractor partner, provides the opportunity to develop and deploy an HMI mockup for advanced algorithm evaluation from the entire MDA research community.

* information listed above is at the time of submission.

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