Urban Illumination for Soldier Simulations and Close-Combat Target Acquisition

Award Information
Agency:
Department of Defense
Amount:
$119,995.00
Program:
SBIR
Contract:
W911QX-09-C-0016
Solitcitation Year:
2008
Solicitation Number:
2008.2
Branch:
Army
Award Year:
2008
Phase:
Phase I
Agency Tracking Number:
A082-057-1563
Solicitation Topic Code:
A08-057
Small Business Information
JRM ENTERPRISES, INC.
150 Riverside Parkway, Suite 209, Fredericksburg, VA, 22406
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
011471393
Principal Investigator
 Christopher Fink
 Principal Investigator
 (540) 371-6590
 cfink@jrmtech.com
Business Contact
 J. Moulton
Title: President/CEO
Phone: (540) 371-6590
Email: rmoulton@jrmtech.com
Research Institution
N/A
Abstract
JRM Technologies proposes to develop a high-performance physics-based algorithm for TAWS prediction of urban scene EO/NIR light levels, as seen from arbitrary vantage points. The software implementation will apply radiosity techniques using area discretization of scene elements, but will simultaneously incorporate atmospheric effects such as transmission and scattering in the natural and man-made irradiance loading of surfaces. Furthermore, the solution will apply novel form-factor analysis techniques to exploit geometrical simplifications afforded by the building planar surfaces. The result will be a global illumination solution which can subsequently be sampled from arbitrary viewpoints with very little additional computation, affording fast, accurate background predictions for use in target acquisition. Options to the base effort include upgrading the atmospheric model to a highly-optimized Modtran-based transport calculation with more detailed atmospheric property control, upgrading the natural light source model to account for stellar irradiance and propagation through the user-defined atmosphere, improving the artificial source model to incorporate characteristic spectral emittance from known source types, and improving the surface albedo model to allow selection of material types from a library of pre-measured spectral DHR. Additional options will provide optimizations to the surface discretization and radiosity matrix solution algorithms using iterative techniques.

* information listed above is at the time of submission.

Agency Micro-sites

US Flag An Official Website of the United States Government