SBIR/STTR Research Award

Multi-Source Vertical Obstruction Generation

Award identifier 6d07d36ef7c9d67b15291548455d59ed17dfe743a819e3e2e33b73225d80e683Awarding agency Department of Defense · Navy

Award amount

$99,875

Program and phase

SBIR · Phase I

Award year

2004

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
AERIAL VISION, INC.
Proposal award date
2004-03-10
Contract end date
2004-09-10
UEI
Not reported
Solicitation number
2004.1
Topic code
N04-015

Research abstract

In support of low flying air vehicle missions, the Navy seeks improved capabilities to detect automatically, geo-locate, and determine the height above ground of vertical obstructions over operational areas. Of importance is the ability to assess the horizontal and vertical accuracy of detection results and detect obstructions above specified heights. The solution must be able to process and fuse various inputs, including multi-source imagery and elevation data. Accordingly, we propose to research and develop an innovative system to perform these functions, tentatively named: "VertiVision"; and particular emphasis is on support to the Tomahawk Cruise Missile Program. Of prime importance are: 1) A mathematically rigorous capability that can detect vertical obstructions, with emphasis on manmade objects such as buildings, towers, and similar features. 2) A capability to ingest and fuse multiple data sources, to include commercial, national, and tactical and leverage sensor model parameters to ensure maximum modeling precision; 3) A capability to accurately determine the height(s) of obstruction(s) as per mission requirements; and 4) A method for geo-locating the obstructions and making such output compatible with Navy mission planning objectives. Commercial and defense marketplaces are demanding solutions of this type, which suggests an eventual marketable solution should do well.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

Department of Defense

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