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dc.contributor.authorJohnson, Eric N.
dc.contributor.authorCalise, Anthony J.
dc.contributor.authorWatanabe, Yoko
dc.contributor.authorHa, Jin-Cheol
dc.contributor.authorNeidhoefer, James C.
dc.date.accessioned2010-11-09T21:04:52Z
dc.date.available2010-11-09T21:04:52Z
dc.date.issued2007-03
dc.identifier.citationReal-Time Vision-Based Relative Aircraft Navigation. Eric N. Johnson, Anthony J. Calise, Yoko Watanabe, Jin-Cheol Ha, James C. Neidhoefer. Journal of Aerospace Computing, Information, and Communication, 4(4):707-738, March, 2007.en_US
dc.identifier.issn1542-9423
dc.identifier.urihttp://hdl.handle.net/1853/35879
dc.descriptionReceived 22 February 2006; revision received 11 September 2006; accepted for publication 11 September 2006. Copyright © 2007 by Eric N. Johnson, Anthony J. Calise,YokoWatanabe, Jincheol Ha, and James C. Neidhoefer. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.en_US
dc.descriptionPublished in Journal of Aerospace Computing, Information, and Communication, Vol. 4, Issue 4, January 2004.
dc.description.abstractThis paper describes two vision-based techniques for the navigation of an aircraft relative to an airborne target using only information from a single camera fixed to the aircraft. These techniques are motivated by problems such as "see and avoid", pursuit, formation flying, and in-air refueling. By applying an Extended Kalman Filter for relative state estimation, both the velocity and position of the aircraft relative to the target can be estimated. While relative states such as bearing can be estimated fairly easily, estimating the range to the target is more difficult because it requires achieving valid depth perception with a single camera. The two techniques presented here offer distinct solutions to this problem. The first technique, Center Only Relative State Estimation, uses optimal control to generate an optimal (sinusoidal) trajectory to a desired location relative to the target that results in accurate range-to-target estimates while making minimal demands on the image processing system.The second technique, Subtended Angle Relative State Estimation, uses more rigorous image processing to arrive at a valid range estimate without requiring the aircraft to follow a prescribed path. Simulation results indicate that both methods yield range estimates of comparable accuracy while placing different demands on the aircraft and its systems.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectFormation flighten_US
dc.subjectVisionen_US
dc.subjectAircraft navigationen_US
dc.titleReal-Time Vision-Based Relative Aircraft Navigationen_US
dc.typeArticleen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Aerospace Engineering
dc.publisher.originalAmerican Institute of Aeronautics and Astronautics, Inc.


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