Terrain Database Correlation and Automated Testing Technologies

Award Information
Agency: Department of Defense
Branch: Army
Contract: W91CRB-10-C-0042
Agency Tracking Number: A093-182-0191
Amount: $119,959.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: A09-182
Solicitation Number: 2009.3
Small Business Information
14258 Anastasia Lane, Orlando, FL, 32828
DUNS: 175966675
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jon Watkins
 Vice President
 (407) 259-9915
 watkins@dignitastechnologies.com
Business Contact
 Elizabeth Burch
Title: Software Engineer
Phone: (407) 575-1745
Email: eburch@dignitastechnologies.com
Research Institution
N/A
Abstract
The modeling and simulation industry has long been plagued by errors in synthetic natural environment representations and services. Terrain correlation issues span a wide range of layers, including database generation, data content, run-time algorithms, and system functional effect. These issues are highly damaging in terms of cost and training impacts. Although multiple attempts have been made to identify and fix correlation issues, each of these attempts has fallen short in terms of functionality or breadth of application. A comprehensive attack on this problem, including a focus on building common architectures and algorithms, will mitigate correlation problems. The common solution must look beyond the virtual domain, such as consideration of live (e.g. geo-pairing and LVC) and command and control (CJMTK) considerations. Such a common solution is more easily addressed at this time, given the growing commonality between programs (e.g. OneSAF, LVC-IA), and the growth of centralized component-building programs like SE Core and LT2. Dignitas Technologies’ Phase I efforts will address two key focus areas: near-term implementation of selected test prototypes and a longer-term effort to define a set of principles and standards that can grow into a Correlation Analysis for Terrain Representations (CATR) concept.

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

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