Hyper-Elevation Modeling of Terrain, Topography, and Urban Environments

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,910.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
N68335-09-C-0200
Agency Tracking Number:
N091-026-0255
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
COGNITICS, INC.
4811 W Fenton, Boise, ID, 83714
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
803036990
Principal Investigator:
Kevin Bentley
President
(208) 919-4598
kbentley@cognitics.net
Business Contact:
Kevin Bentley
President
(208) 919-4598
kbentley@cognitics.net
Research Institution:
n/a
Abstract
Recent advances in technology have exposed enough computing power in easily available hardware that geometry synthesis algorithms that we were previously prohibitively compute-intensive are now a possibility. There is significant untapped potential in this area that has gone underutilized in existing simulation systems. Increasing the realism and accuracy of synthetic environments has become a priority, but current methods of simulating complex terrain features requires manual, labor-intensive systems to generate certain complex terrain features accurately. In this effort, Cognitics proposes to research and define new techniques, algorithms, and methods to simulate complex terrain features and urban environments, and use these techniques to extend existing real-time simulation systems to make them capable of real-time modeling, integration, and interaction with complex terrain features. Cognitics has proven experience working with and developing software for the storage and analysis of geospatial data, computational geometry and 3D visualization systems. Notably, the Principal Investigator for this proposal, Kevin Bentley, is the software architect that designed the Master Database (MDB), currently used by SE Core. In this effort, Cognitics will partner with CAE to enhance the Run Time Publisher (RTP) system allowing it to provide complex terrain models in real-time.

* information listed above is at the time of submission.

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