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Multi-Resolution Representations and Simulation of Large Terrain Models

Award Information
Agency: Department of Defense
Branch: Army
Contract: N61339-05-C-0145
Agency Tracking Number: A032-0293
Amount: $1,629,770.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A03-207
Solicitation Number: 2003.2
Solicitation Year: 2003
Award Year: 2005
Award Start Date (Proposal Award Date): 2005-11-09
Award End Date (Contract End Date): 2007-11-09
Small Business Information
104 Orchard Lane
Carrboro, NC 27510
United States
DUNS: 831976217
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Dinesh Manocha
 V. President
 (919) 942-0356
Business Contact
 Ming Lin
Title: President
Phone: (919) 942-0356
Research Institution

We propose to develop multiresolution representations and algorithms for synthetic terrain environments. They will be used for representing large terrain models as well dynamic and atmospheric simulations. Our ultimate goal is to increase the validity of the simulation by incorporating the multiple models at varying resolutions. We will use the OneSAF simulation Product Line Architecture Framework (PLAF) as a reference, and evaluate the use of static and dynamically generated multiresolution models within that framework. As part of Phase I, we developed multiresolution representations of terrain models using subdivision surfaces and also developed algorithms to generate static and dynamic levels-of-detail of terrain models. During Phase II, we would continue development of novel multiresolution representations and simulation algorithms for large terrains that consist of tens of millions of triangles. We would also focus on techniques to interactively visualize these models. Finally, we would use multiresolution representations and algorithms to speed-up LOS (line-of-sight) and collision detection queries on large terrains.

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

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