Sensor Fusion for Situation Awareness in Littoral Environments

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-04-C-R017
Agency Tracking Number: 02SB2-0027
Amount: $749,154.00
Phase: Phase II
Program: SBIR
Awards Year: 2004
Solitcitation Year: 2002
Solitcitation Topic Code: SB022-025
Solitcitation Number: 2002.2
Small Business Information
AETION TECHNOLOGIES LLC
1275 Kinnear Road, Columbus, OH, 43212
Duns: 158053434
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 John Josephson
 Partner
 (614) 340-1835
 John.Josephson@Aetion.com
Business Contact
 Tom Slavin
Title: President
Phone: (614) 340-1835
Email: Tom.Slavin@Aetion.com
Research Institution
N/A
Abstract
To support pilot situation awareness for small high-speed submersibles in littoral environments, automatic information fusion is needed that is capable off deriving actionable information from sensor data that is degraded in the manner of sonar data in shallow water. A Phase I project showed the feasibility of using technology for automated abductive inference (best explanation reasoning), supported by modeling and simulation, to detect, and infer the locations of, sonically illuminated objects, using data from ambient sounds that have been degraded by multipathing. It appears that 3D scene reconstruction from passive (and active) sonar can be done using layered abductive inference, physics models, computational geometry, and miscellaneous domain knowledge. The objectives of the Phase II project are to develop a more advanced abduction engine and to demonstrate its effectiveness for 3D scene reconstruction from passive sonar. Model-based abduction has many potential applications to other problems of information fusion and interpretation for military and civilian applications.

* information listed above is at the time of submission.

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