Orientation Invariant Combat Identification

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,810.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
N68335-06-C-0065
Award Id:
75312
Agency Tracking Number:
N052-111-0626
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
727 Airport Boulevard, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
197187602
Principal Investigator:
Glenn Beach
Director R&D
(734) 668-2567
proposals@cybernet.com
Business Contact:
Charles Cohen
Vice President R&D
(734) 668-2567
proposals@cybernet.com
Research Institute:
n/a
Abstract
A primary mission of Naval air assets is to detect and destroy enemy ground targets. In order to accomplish this mission, the weapon systems must be able to detect and classify potential targets to determine which are valid targets. Traditional combat identification has been performed using all weather sensors and processing algorithms designed specifically for such sensor data. Newer electro-optical (EO) sensors produce a very different type of data that does not lend itself to the traditional combat identification algorithms. Therefore, there is a need for new algorithms to perform combat identification within EO data. Cybernet proposes to leverage our existing pose determination system to create algorithms for performing combat identification of targets within EO sensor data at any orientation. The system uses feature data (typically object edge data) and a target database to determine the 3D position and orientation of the object and the object's identity. The system stores a very compressed representation of the target for comparison purposes. This allows target information to be shared easily of networked resources.

* information listed above is at the time of submission.

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