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dc.contributor.authorPestana, Jesús-
dc.contributor.authorMellado-Bataller, I.-
dc.contributor.authorSánchez-López, José L.-
dc.contributor.authorFu, Changhong-
dc.contributor.authorMondragón, Iván F.-
dc.contributor.authorCampoy, Pascual-
dc.date.issued2014-
dc.identifier.citationJournal of Intelligent and Robotic Systems: Theory and Applications 74: 113- 127 (2014)-
dc.identifier.issn0921-0296-
dc.identifier.urihttp://hdl.handle.net/10261/102413-
dc.description.abstractWe present the design and implementation of a vision based autonomous landing algorithm using a downward looking camera. To demonstrate the efficacy of our algorithms we emulate the dynamics of the ship-deck, for various sea states and different ships using a six degrees of freedom motion platform. We then present the design and implementation of our robust computer vision system to measure the pose of the shipdeck with respect to the vehicle. A Kalman filter is used in conjunction with our vision system to ensure the robustness of the estimates. We demonstrate the accuracy and robustness of our system to occlusions, variation in intensity, etc. using our testbed. © 2013 Springer Science+Business Media Dordrecht.-
dc.description.sponsorshipConsejo Superior de Investigaciones Cientificas (CSIC) of Spain-
dc.description.sponsorshipUECMUAVS Project PIRSES-GA-
dc.description.sponsorshipSpanish Ministry of Science MICYT. DPI2010-20751-C02-01-
dc.publisherKluwer Academic Publishers-
dc.rightsclosedAccess-
dc.subjectUAV-
dc.subjectVTOL-
dc.subjectAutonomous landing-
dc.subjectComputer vision-
dc.subjectShip deck simulation-
dc.titleAn approach toward visual autonomous ship board landing of a VTOL UAV-
dc.typeartículo-
dc.identifier.doihttp://dx.doi.org/10.1007/s10846-013-9926-3-
dc.date.updated2014-09-24T10:51:31Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
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