Using Machine Vision Techniques to Create a Multi-Resolution Obstacle Database

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00421-05-C-0022
Agency Tracking Number: N043-232-1018
Amount: $79,815.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2004
Solicitation Topic Code: N04-232
Solicitation Number: 2004.3
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
 Douglas Haanpaa
 Research Engineer
 (734) 668-2567
Business Contact
 Charles Cohen
Title: Vice President, R&D
Phone: (734) 668-2567
Research Institution
The Navy requires an architecture for acquiring and storing 3-Dimensional obstacle data. An extension of the Terrain Awareness Warning System (eTAWS), the obstacle database must store man-made objects such as buildings, bridges, towers, overpasses, and wires. The system must be able to generate obstacle database data from a number of sources including synthetic aperture radar (SAR), stereo/multiple aerial/satellite photography, and raw geodetic survey data.Cybernet proposes to focus on the collection of 3D obstacle geometry/location based on aerial photography and using advance image processing techniques. This collection process will then be used to populate an indexed database that stores obstacle data at multiple resolutions. By indexing the data, we will be able to reduce the storage requirements by storing redundant data only once. By storing the data at multiple resolutions we allow the application accessing it to balance the tradeoffs corresponding to the different levels of resolution/detail, such as resolution vs. coverage area.

* information listed above is at the time of submission.

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