RT info:eu-repo/semantics/conferenceObject
T1 Comparing Bayesian and Montecarlo localization for a robot with local vision
A1 Crespo, María A.
A1 Cañas, José María
A1 Matellán Olivera, Vicente
A2 Arquitectura y Tecnologia de Computadores
K1 Informática
K1 Robótica
K1 Robots móviles
K1 Localización
K1 RoboCup
K1 Bayesian
K1 Montecarlo
AB Position estimation is one of the classic problems in mobilerobotics. The goal of this paper is to compare two probabilistic localizationmethods based on local vision for a mobile robot. The experimentalset up is based on the Aibo league of the RoboCup, where the roboticdogs 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
SN 84-8373-564-4
YR 2012
FD 2012-07-09
LK http://hdl.handle.net/10612/1804
UL http://hdl.handle.net/10612/1804
NO CAEPIA-TTIA'2003, 11-14 de noviembre, 2003, San Sebastián
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 25-abr-2024