Orientation Invariant Combat Identification

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-06-C-0065
Agency Tracking Number: N052-111-0626
Amount: $79,810.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: N05-111
Solicitation Number: 2005.2
Small Business Information
727 Airport Boulevard, Ann Arbor, MI, 48108
DUNS: 197187602
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Glenn Beach
 Director R&D
 (734) 668-2567
Business Contact
 Charles Cohen
Title: Vice President R&D
Phone: (734) 668-2567
Email: proposals@cybernet.com
Research Institution
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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