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Video-Assisted Global Positioning in Terrain Navigation with Known Landmarks

Author

Listed:
  • Guna Seetharaman

    (Electrical and Computer Engineering Division, Air Force Institute of Technology, Wright-Patterson AFB, Ohio)

  • Ha V. Le

    (Department of Electrical and Computer Engineering, College of Technology, Vietnam National University, Cau Giay, Hanoi, Vietnam)

Abstract

We present a rigorous geometric analysis of the computation of the global positions of an airborne video camera and ground based objects using aerial images of known landmarks. This has also been known as the perspective-n-point (PnP) problem. A robust Hough transform-like method, facilitated by a class of CORDIC-structured computations is developed to find the camera position followed by a method of computing the position of a ground object from images of that object and three known landmarks. The results enable fast and effective visual terrain navigation of aerial surveillance systems when the global positioning and inertial navigation sensors become faulty, inaccurate, or dysfunctional. These new hardware implementable algorithms can also be used with MEMS based INS sensors through a multisensory fusion process.

Suggested Citation

  • Guna Seetharaman & Ha V. Le, 2006. "Video-Assisted Global Positioning in Terrain Navigation with Known Landmarks," International Journal of Distributed Sensor Networks, , vol. 2(2), pages 103-119, March.
    • Handle: RePEc:sae:intdis:v:2:y:2006:i:2:p:103-119
    DOI: 10.1080/15501320500201235
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