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Sensor Fusion for Situation Awareness in Littoral Environments

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
58405
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
02SB2-0027
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
AETION TECHNOLOGIES LLC
1275 Kinnear Road Columbus, OH 43212 1155
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2004
Title: Sensor Fusion for Situation Awareness in Littoral Environments
Agency / Branch: DOD / DARPA
Contract: W31P4Q-04-C-R017
Award Amount: $749,154.00
 

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.

Principal Investigator:

John Josephson
Partner
6143401835
John.Josephson@Aetion.com

Business Contact:

Tom Slavin
President
6143401835
Tom.Slavin@Aetion.com
Small Business Information at Submission:

AETION TECHNOLOGIES LLC
1275 Kinnear Road Columbus, OH 43212

EIN/Tax ID: 311697503
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No