Algorithms for Run-Time Terrain Deformation

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-04-M-6492
Agency Tracking Number: F041-064-1159
Amount: $99,960.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: AF04-064
Solicitation Number: 2004.1
Small Business Information
400 Plaza Drive, Suite-A, PO Box 1276, Vestal, NY, 13851
DUNS: 944322718
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Graham Upton
 Director of Engineering
 (607) 729-8526
Business Contact
 David Gdovin
Title: President
Phone: (607) 729-8526
Research Institution
In recent years, the volume and accuracy of data available for use in synthetic environments has increased exponentially. Current tools and techniques for utilizing this data have not evolved at the same pace, however. Traditional approaches to database modeling still require a significant amount of manual effort. Although it is a seemingly simple and necessary task, currently available tools do not support making small changes at run-time to the topography to correlate with feature data. Furthermore, as new and better data becomes available, re-incorporating this data with existing tools is cumbersome and costly, often requiring large portions of a database to be regenerated. In cases where sensor databases are also required, the cost of regenerating correlated sensor-encoded databases must also be considered. Finally, traditional tools and techniques for database development do not scale with hardware advancements. As new hardware capabilities rapidly become available, databases must be regenerated to incorporate additional content in order to take advantage of these advancements. Diamond Visionics will provide useful solutions to address the challenges stated above based on our extensive background in the instant construction and deformation of databases for visual simulation. In Phase I, Diamond Visionics will develop a proof-of-concept PC-based IG capable of automatically adjusting topography to correlate with feature data where provided. This system will greatly reduce the amount of effort required to update the visual database as additional and improved data becomes available

* Information listed above is at the time of submission. *

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