Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/handle/1/6150
Title: Localization of a mobile robot based on odometry and natural landmarks using extended kalman filter
Authors: Santana, Andre M.
Sousa, Anderson A. S.
Britto, Ricardo S.
Alsina, Pablo J.
Medeiros, Adelardo Adelino Dantas de
Keywords: Robot localization;Kalman filter;Sensor fusion
Issue Date: 2008
Publisher: International Conference on Informatics in Control, Automation and Robotics
Citation: SANTANA, A. M.; SOUZA, A. A. S.; BRITTO, R. S.; ALSINA, P. J.; MEDEIROS, A. A. D. (2008)
Abstract: This 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 pose
Description: SANTANA, 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.
URI: http://repositorio.ufrn.br:8080/jspui/handle/1/6150
Appears in Collections:CT - DCA - Trabalhos apresentados em eventos

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