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An Innovative Accurate Predictive 3D Terrain Modeling

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-07-M-6796
Agency Tracking Number: F071-029-1511
Amount: $99,975.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF071-029
Solicitation Number: 2007.1
Timeline
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-04-02
Award End Date (Contract End Date): 2008-02-02
Small Business Information
888 Easy Street
Simi Valley, CA 93065
United States
DUNS: 611466855
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Ching-Fang Lin
 President
 (805) 582-0582
 cflin@americangnc.com
Business Contact
 Corinne Munoz
Title: Director of Contracts
Phone: (805) 582-0582
Email: channa@americangnc.com
Research Institution
N/A
Abstract

The U.S. Air Force is looking for innovative technologies providing an autonomous helicopter sensor-display system for brown-out landing conditions. In response AGNC proposes to develop and document an innovative Accurate Predictive 3D Terrain Modeling (AP-3DTM) system and software toolsets. The AP-3DTM is based on: 1) on-the-fly 3D model generation deploying stereo-cameras with accuracy estimation and quality assurance; 2) modeling the helicopter position geospatial refinement based on AGNC’s coremicro AHRS/GPS/INS Integration Unit sensors measurements; 3) AGNC’s robust Kalman-Filter based helicopter position prediction; 3) optimal model visualization on 3D autostereoscopic or pilot-helmet display. Hazards detection is a concern for which AGNC provides an automated pattern recognition solution. The slope of the landing terrain is also computed to aid the pilot in the execution of a safe landing. The AP-3DTM solution, proposed by AGNC, comprises the following major innovations: a) use for the first time of the theory of stereo-perspective for 3D landing models generation in real-time from non-calibrated passive imaging; b) unique landing prediction multi-sensor architecture based on AGNC’s robust Kalman filter. The Phase I research will result in identification and feasibility verification of the AP-3DTM’s most challenging components. Phase II will culminate in a fully functional working prototype.

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

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