• DocumentCode
    3398560
  • Title

    Aircraft navigation by means of image registration

  • Author

    Pritt, Mark D. ; LaTourette, Kevin J.

  • Author_Institution
    Lockheed Martin Corp., Gaithersburg, MD, USA
  • fYear
    2013
  • fDate
    23-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Most aircraft, whether manned or unmanned, depend on the Global Positioning System (GPS) for navigation. However, GPS signals are susceptible to jamming and spoofing. A researcher recently demonstrated the use of spoofing to take control of a ship in the Mediterranean Sea. By feeding counterfeit signals to the ship, he was able to drive it far off course. All the time, the navigation system reported the vessel was moving calmly along its intended course. The same researcher also demonstrated the ability to spoof unmanned aerial vehicles (UAVs). The purpose of this paper is to demonstrate a navigation system that does not rely on GPS. The only sensor required is a digital camera. The system works by taking a photograph of the ground and georegistering it to a reference image or digital elevation model (DEM) with the GeoMI™ georegistration software. By transferring geospatial information from the DEM to the photo, the system calculates the position and orientation of the aircraft. The process is fast enough to perform in real time and suitable for use as a primary or backup navigation system for aircraft, UAVs, and cruise missiles. For nighttime navigation, the system could be extended to infrared or radar imagery. Experimental results show that navigation accuracies of 2 meters CE90 can be achieved.
  • Keywords
    aircraft; aircraft navigation; autonomous aerial vehicles; cameras; digital elevation models; geophysical image processing; image registration; robot vision; CE90; DEM; GeoMI georegistration software; UAV; aircraft navigation; aircraft orientation; aircraft position; backup navigation system; counterfeit signals; cruise missiles; digital camera; digital elevation model; georegistering; geospatial information; ground photograph; image registration; infrared imagery; night-time navigation; primary navigation system; radar imagery; reference image; Accuracy; Aircraft; Aircraft navigation; Cameras; Feature extraction; Global Positioning System; Jamming; GPS; aircraft; georegistration; navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery Pattern Recognition Workshop (AIPR): Sensing for Control and Augmentation, 2013 IEEE
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/AIPR.2013.6749335
  • Filename
    6749335