Orientation Invariant Combat Identification
Navy SBIR FY2005.2


Sol No.: Navy SBIR FY2005.2
Topic No.: N05-111
Topic Title: Orientation Invariant Combat Identification
Proposal No.: N052-111-0626
Firm: Cybernet Systems Corporation
727 Airport Boulevard
Ann Arbor, Michigan 48108-1639
Contact: Glenn Beach
Phone: (734) 668-2567
Web Site: www.cybernet.com
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.
Benefits: The proposed technology will produce a new algorithm for identifying targets within electro-optical sensor data. This will provide a new method for target tracking for F/A-18 and other weapons systems. Additionally. The technology will be integrated directly into Cybernet's existing ammunition inspection products.

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