Multi-Sensor Data Fusion Frameworks for Layered Sensing

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,972.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-12-M-1311
Award Id:
n/a
Agency Tracking Number:
F112-139-2125
Solicitation Year:
2011
Solicitation Topic Code:
AF112-139
Solicitation Number:
2011.2
Small Business Information
1300 Research Park Dr, Dayton, OH, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
363384004
Principal Investigator:
GregArnold
Senior Staff Engineer
(937) 427-8433
greg.arnold@matrixresearch.com
Business Contact:
BobHawley
President
(937) 427-8433
bob.hawley@matrixresearch.com
Research Institute:
Stub




Abstract
ABSTRACT: The objective of this effort is to develop a framework to integrate data from various air and ground sensor systems employed in an urban environment to collect data on moving/stationary vehicles and dismounts. A Layered Sensing processing framework is needed that combines information, gleans meaning from the collected data, and re-tasks sensors in a timely manner to garner actionable intelligence. Tasking for the numerous sensory assets must be coordinated to support automatic cross-cueing so that the right information is collected at the right time and place. Initially, this effort will focus on jointly using wide-area motion imagery (RF and EO) and study how this can feed forward and back from a seeker deployed for a reconnaissance targeting mission. This will be a challenging proof-of-concept demonstration of a multi-sensor data fusion framework for layered sensing. Ultimately we envision this contributing to the Advanced Recognition Capability (ARC) Lab at AFRL and multiple ISR platforms. BENEFIT: The successful completion of Phase I will result in the generation of a general scheme for fusing data across multiple air and ground sensors. This will solve a technical challenge necessary for the development of Layered Sensing systems, a key enabler for many DoD missions such as battlespace awareness.

* information listed above is at the time of submission.

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