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dc.contributorAndrade-Cetto, Juan
dc.contributor.authorTerrado González, Faust
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2015-06-12T13:24:17Z
dc.date.available2015-06-12T13:24:17Z
dc.date.issued2015-05-22
dc.identifier.urihttp://hdl.handle.net/2099.1/26213
dc.description.abstractThis document presents an odometry method to estimate the pose of a mobile robot using a monocular camera and an inertial measurement unit. The method is based on the error state Kalman filter.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshKalman filtering
dc.subject.lcshRobotics
dc.subject.otherodometria
dc.subject.othervisió per computador
dc.subject.othersensor inercial
dc.subject.otherSLAM
dc.subject.otherdetecció i seguiment de features
dc.subject.otherodometry
dc.subject.othercomputer vision
dc.subject.otherIMU
dc.subject.otherfeature detection and tracking
dc.titleVisual Inertial Odometry system for mobile robotics
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacKalman, Filtratge de
dc.subject.lemacRobòtica
dc.identifier.slug103146
dc.rights.accessOpen Access
dc.date.updated2015-06-04T04:00:24Z
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorFacultat d'Informàtica de Barcelona


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