Comparing Bayesian and Montecarlo localization for a robot with local vision

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Comparing Bayesian and Montecarlo localization for a robot with local vision

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Title: Comparing Bayesian and Montecarlo localization for a robot with local vision
Author: Crespo, María A.;Cañas, José María;Matellán Olivera, Vicente
xmlui.dri2xhtml.METS-1.0.item-contributor: Escuela de Ingenierias Industrial e Informatica
xmlui.dri2xhtml.METS-1.0.item-area: Arquitectura y Tecnologia de Computadores
Abstract: Position estimation is one of the classic problems in mobile robotics. The goal of this paper is to compare two probabilistic localization methods based on local vision for a mobile robot. The experimental set up is based on the Aibo league of the RoboCup, where the robotic dogs major sensor is the on-board camera. Two localization algorithms, Bayesian and Montecarlo (MCL), have been implemented and compared, and their behaviour studied in several situations using a simulator
xmlui.dri2xhtml.METS-1.0.item-citation: CAEPIA-TTIA'2003, 11-14 de noviembre, 2003, San Sebastián
xmlui.dri2xhtml.METS-1.0.item-isbn: 84-8373-564-4
URI: http://hdl.handle.net/10612/1804
Date: 2003-11-11
xmlui.dri2xhtml.METS-1.0.item-tipo: info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/conferenceObject
xmlui.dri2xhtml.METS-1.0.item-subtipo: info:eu-repo/semantics/lecture
Subject: Informática
xmlui.dri2xhtml.METS-1.0.item-palclave: Robótica
Robots móviles
Localización
RoboCup
Bayesian
Montecarlo
xmlui.dri2xhtml.METS-1.0.item-accessRights: info:eu-repo/semantics/openAccess
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