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

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$749,942.00
Award Year:
2007
Program:
STTR
Phase:
Phase II
Contract:
W911NF-07-C-0103
Award Id:
78068
Agency Tracking Number:
A064-011-0245
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
350 Wynn Drive, Huntsville, AL, 35805
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
031994218
Principal Investigator:
Andrew Thies
Principal Investigator
(256) 489-8963
athies@radiancetech.com
Business Contact:
Kevin Bice
Sr. Contract Administrator
(256) 489-8964
kbice@radiancetech.com
Research Institution:
UNIV. OF SOUTH CAROLINA
Greg Howell
901 Sumter Street, 5th Floor
Columbia, SC, 29208
(803) 777-1119
Nonprofit college or university
Abstract
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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