A comparison of bayesian filters for orientation estimation

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dc.creatorPaz, Claudio
dc.creatorPérez Paina, Gonzalo
dc.creatorToloza, Hugo
dc.date.accessioned2025-10-11T16:06:29Z
dc.date.issued2013
dc.description.abstractThis work presents an empirical study that compares the performance of Bayesian filters for orientation estimation using data provided by an Inertial Measurement Unit. A two-stages measurement update was implemented for different variants of Kalman and particles filters using quaternions as orientation representation method. Empirical results show that all tested algorithms converge to the correct orientation even if the initial orientation is unknown.
dc.description.affiliationFil: Paz, Claudio. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
dc.description.affiliationFil: Pérez Paina, Gonzalo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
dc.description.affiliationFil: Toloza, Hugo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
dc.description.peerreviewedPeer Reviewed
dc.formatpdf
dc.identifier.citationLibro de Actas de la XV Reunión de Trabajo en Procesamiento de la Información y Control.2013
dc.identifier.isbn978-987-27739-7-7
dc.identifier.urihttps://hdl.handle.net/20.500.12272/13941
dc.language.isoen
dc.publisherUniversidad Nacional de Río Negro
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.holderPaz, Claudio; Pérez Paina, Gonzalo; Toloza, Hugo
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.usehttps://creativecommons.org/licenses/by/4.0/
dc.subjectMobile robotics
dc.subjectPosition estimation
dc.subjectOrientation estimation
dc.subjectBayesian filtering
dc.titleA comparison of bayesian filters for orientation estimation
dc.typeinfo:eu-repo/semantics/article
dc.type.versionpublisherVersion

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