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Urban Illumination for Soldier Simulations and Close-Combat Target Acquisition

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
87162
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
A082-057-1563
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
JRM ENTERPRISES, INC.
4820 Southpoint Drive, Suite 203 Fredericksburg, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: Urban Illumination for Soldier Simulations and Close-Combat Target Acquisition
Agency / Branch: DOD / ARMY
Contract: W911QX-09-C-0016
Award Amount: $69,997.00
 

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.

Principal Investigator:

Christopher Fink
Principal Investigator
5403716590
cfink@jrmtech.com

Business Contact:

J. R. Moulton
President/CEO
5403716590
rmoulton@jrmtech.com
Small Business Information at Submission:

JRM ENTERPRISES, INC.
150 Riverside Parkway, Suite 209 Fredericksburg, VA 22406

EIN/Tax ID: 541911229
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No