Localization of a mobile robot based on odometry and natural landmarks using extended kalman filter


Autoria(s): Santana, Andre M.; Sousa, Anderson A. S.; Britto, Ricardo S.; Alsina, Pablo J.; Medeiros, Adelardo Adelino Dantas de
Data(s)

18/03/2011

18/03/2011

2008

Resumo

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.

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

Identificador

SANTANA, A. M.; SOUZA, A. A. S.; BRITTO, R. S.; ALSINA, P. J.; MEDEIROS, A. A. D. (2008)

http://repositorio.ufrn.br:8080/jspui/handle/1/6150

Idioma(s)

por

Publicador

International Conference on Informatics in Control, Automation and Robotics

Direitos

open access

Palavras-Chave #Robot localization #Kalman filter #Sensor fusion
Tipo

article