Automated 3-D Terrain Mission Profile Generation for CBM & Durability Analysis

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,956.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W912HZ-08-C-0007
Agency Tracking Number:
A072-132-0817
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
IMPACT TECHNOLOGIES, LLC
200 Canal View Blvd, Rochester, NY, 14623
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
073955507
Principal Investigator:
G. Valentine
Manager, Maint. & Logistics Sys.
(585) 424-1990
scott.valentine@impact-tek.com
Business Contact:
Mark Redding
President
(585) 424-1990
mark.redding@impact-tek.com
Research Institution:
n/a
Abstract
Impact Technologies, LLC, in collaboration with the Digital Imaging and Remote Sensing Laboratory of the Rochester Institute of Technology, proposes to develop and demonstrate a micro-surface terrain inferencing algorithm capability. This capability will ultimately be used within mission planning tools (Environmental Systems Research Institute (ESRI) software) to generate 3-D terrain mission profiles with adequate level of detail to conduct meaningful vehicle durability analysis. The micro-surface terrain inferencing algorithm capability will hinge on the identification and/or development of a cost effective micro-surface terrain elevation profile collection technology that provides the required level of detail. The required level of detail will be determined through a sensitivity study of the durability analysis as a function of terrain detail. Micro-surface terrain elevation profile collected using this technology will then be used for feature extraction and terrain classification which will, in turn, enable the development of a ground truth database and the inferencing algorithms. The ground truth database will contain the relevant features for each terrain type to alleviate the need for using the collected data and minimizing storage requirements. The statistical accuracy of the inferencing algorithms will be verified and validated through comparison with collected data initially and then through comparison with information from historical vehicle test programs.

* information listed above is at the time of submission.

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