Real-Time Videogrammetry System for Navigation of Unmanned Aerial Vehicles

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-04-C-R159
Agency Tracking Number: 02SB1-0048
Amount: $799,553.00
Phase: Phase II
Program: SBIR
Awards Year: 2004
Solicitation Year: 2002
Solicitation Topic Code: SB021-005
Solicitation Number: 2002.1
Small Business Information
225 South Lake Avenue, Pasadena, CA, 91101
DUNS: 194036893
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lenny Rudin
 (626) 796-0326
Business Contact
 Margaret Conley
Title: Controler
Phone: (626) 796-0326
Research Institution
This proposal presents Cognitech's Phase II extensions on the theoretical and computational Phase I study of automatic landing of unmanned aerial vehicles (UAV). The Phase I report contained successful initial validation study with comparison of the platform positioning as estimated from visual and IR video sequences to the recorded GPS data. Our approach differs from other attempts to use images for automatic landing in that we utilize mainly detection and estimation of meaningful lines instead of reference points. The major advantage of our solution approach to the UAV automatic landing task is generality: no airport surveying data is necessary. We rely on only one natural parameter, the maximum false alarm rate, unlike all previous methods that depend on a multitude of unstable thresholds. We propose to make all computational tasks the real-time, in particular the detection of meaningful straight lines, and to assess the precision of the measurements with respect to the resolution of the camera. We also propose to develop an automatic camera calibration process that is easy to set up. Finally, the solution to an automatic video-estimation of the position of a hose in an aerial refueling system is developed.

* information listed above is at the time of submission.

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