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dc.contributor.authorFusini, Lorenzo
dc.contributor.authorFossen, Thor I.
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2014-12-15T02:48:52Z
dc.date.accessioned2016-06-23T11:47:42Z
dc.date.available2014-12-15T02:48:52Z
dc.date.available2016-06-23T11:47:42Z
dc.date.issued2014
dc.identifier.citationIEEE Mediterranean Conference on Control & Automation 2014nb_NO
dc.identifier.issn1934-1776
dc.identifier.urihttp://hdl.handle.net/11250/2393893
dc.description.abstractIn this paper a nonlinear observer for estimation of position, velocity, acceleration, attitude and gyro bias of an Unmanned Aerial Vehicle (UAV) is proposed. The sensor suite consists of an Inertial Measurement Unit (IMU), a Global Navigation Satellite System (GNSS) receiver, a video camera, an altimeter, and an inclinometer. The camera and machine vision systems can track features from the environment and calculate the optical flow. These data, together with those from the other sensors, are fed to the observer, that is proven to be uniformly semiglobally exponentially stable (USGES). The performance of the observer is tested on simulated data by assuming that the camera system can provide the necessary information.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.titleA Uniformly Semiglobally Exponentially Stable Nonlinear Observer for GNSS- and Camera-Aided Inertial Navigationnb_NO
dc.typeJournal articlenb_NO
dc.date.updated2014-12-15T02:48:52Z
dc.description.versionsubmittedVersion
dc.source.pagenumber1031-1036nb_NO
dc.identifier.doi10.1109/MED.2014.6961510
dc.identifier.cristin1132166
dc.description.localcodePreprint version. © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.nb_NO


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