Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/handle/1/6150
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSantana, Andre M.-
dc.contributor.authorSousa, Anderson A. S.-
dc.contributor.authorBritto, Ricardo S.-
dc.contributor.authorAlsina, Pablo J.-
dc.contributor.authorMedeiros, Adelardo Adelino Dantas de-
dc.date.accessioned2011-03-18T14:14:24Z-
dc.date.available2011-03-18T14:14:24Z-
dc.date.issued2008-
dc.identifier.citationSANTANA, A. M.; SOUZA, A. A. S.; BRITTO, R. S.; ALSINA, P. J.; MEDEIROS, A. A. D. (2008)pt_BR
dc.identifier.urihttp://repositorio.ufrn.br:8080/jspui/handle/1/6150-
dc.descriptionSANTANA, André M.; SOUZA, Anderson A. S.; BRITTO, Ricardo S.; ALSINA, Pablo J.; MEDEIROS, Adelardo A. D. Localization of a mobile robot based on odometry and natural landmarks using extended Kalman Filter. In: INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 5., 2008, Funchal, Portugal. Proceedings... Funchal, Portugal: ICINCO, 2008.pt_BR
dc.description.abstractThis work proposes a localization system for mobile robots using the Extended Kalman Filter. The robot navigates in an known environment where the lines of the floor are used as natural landmarks and identifiqued by using the Hough transform.The prediction phase of the Kalman Filter is implemented using the odometry model of the robot. The update phase directly uses the parameters of the lines detected by the Hough algorithm to correct the robot’s posept_BR
dc.language.isoporpt_BR
dc.publisherInternational Conference on Informatics in Control, Automation and Roboticspt_BR
dc.rightsAcesso Aberto-
dc.subjectRobot localizationpt_BR
dc.subjectKalman filterpt_BR
dc.subjectSensor fusionpt_BR
dc.titleLocalization of a mobile robot based on odometry and natural landmarks using extended kalman filterpt_BR
dc.typearticlept_BR
Appears in Collections:CT - DCA - Trabalhos apresentados em eventos

Files in This Item:
File Description SizeFormat 
2008Eve_Localization of a Mobile Robot_AdelardoADM.pdf200 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.