2024-03-28T15:15:11Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/18042020-12-10T09:08:05Zcom_10612_17col_10612_21
Comparing Bayesian and Montecarlo localization for a robot with local vision
Crespo, María A.
Cañas, José María
Matellán Olivera, Vicente
Arquitectura y Tecnologia de Computadores
Informática
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
2012-07-09
2012-07-09
2012-07-09
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/conferenceObject
CAEPIA-TTIA'2003, 11-14 de noviembre, 2003, San Sebastián
84-8373-564-4
http://hdl.handle.net/10612/1804
info:eu-repo/semantics/openAccess