Software for Generating Geometrically and Topologically Accurate Urban Terrain Models Using Implicit Methods

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-07-C-0103
Agency Tracking Number: A064-011-0245
Amount: $749,942.00
Phase: Phase II
Program: STTR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: A06-T011
Solicitation Number: N/A
Small Business Information
350 Wynn Drive, Huntsville, AL, 35805
DUNS: 031994218
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrew Thies
 Principal Investigator
 (256) 489-8963
Business Contact
 Kevin Bice
Title: Sr. Contract Administrator
Phone: (256) 489-8964
Research Institution
 Greg Howell
 901 Sumter Street, 5th Floor
Columbia, SC, 29208
 (803) 777-1119
 Nonprofit college or university
Currently, the terrain models in most widespread use consist of surfaces represented explicitly as planar triangular facets connected in a continuous manner with each other (triangular irregular networks or TINs). Generally, these models are "terrain skins," that is, representations of height as a univalent function of two independent lateral variables (such as latitude and longitude). Objects with multivalent height and non-genus-0 topology are often added onto these terrain skins to make the terrain model approximate reality closer. However, for urban terrain, the number of such objects and the corresponding computational burden are huge. Raw data that corresponds to objects with multivalent height and non-genus-0 topology (bridges, overhangs, underpasses, buildings, subways, etc.) is becoming widely available. During this effort, a fast and accurate software package for generating implicit representations of multivalent, non-genus-0 urban-terrain from point-cloud data will be developed.

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

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