Enhanced IED Detection Using Ontological Knowledgebase with Fuzzy Reasoning

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$767,182.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
W909MY-11-C-0018
Award Id:
n/a
Agency Tracking Number:
A2-4455
Solicitation Year:
2009
Solicitation Topic Code:
A09-078
Solicitation Number:
2009.2
Small Business Information
1600 Providence Highway, Walpole, MA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
125933916
Principal Investigator:
Bo Ling
President&CEO
(508) 660-0328
bling@migmasys.com
Business Contact:
Bo Ling
President&CEO
(508) 660-0328
bling@migmasys.com
Research Institute:
Stub




Abstract
In Phase I, we have developed a suite of algorithms with capabilities including anomaly detection, false alarm mitigator, intelligent target grouping for minefield display to the human operator, and minefield detection. An ontological knowledgebase has also be developed, which provides a unified environment for the operation and coordination of individual algorithm modules. Test results using actual airborne composite images have shown that we are able to detect minefields with accuracy of 100%. In Phase II, we propose to add these technologies to Army vehicular system, which include intelligent IED minefield display, dynamic estimation of parameter values suitable for various operation conditions, interaction with operator feedback through speech recognition, and ontological knowledgebase management. System developed in Phase II will be deployed in a multiprocessor parallel computation platform for near real-time operation. With the new Phase II system added to Army vehicle, in addition to visualizing the target and its GPS coordinates, the human operator will also be able to view the corresponding IED minefield and providing his or her feedback. The combined system can also perform fuzzy reasoning and fuzzy learning to continuously improve the overall detection performance.

* information listed above is at the time of submission.

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