Mostrar el registro completo del ítem
Título: | Comparing Bayesian and Montecarlo localization for a robot with local vision |
Autor: | Crespo, María A.;Cañas, José María;Matellán Olivera, Vicente |
Facultad/Centro: | Escuela de Ingenierias Industrial e Informatica |
Area de conocimiento: | Arquitectura y Tecnologia de Computadores |
Resumen: | 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 |
Datos: | CAEPIA-TTIA'2003, 11-14 de noviembre, 2003, San Sebastián |
ISBN: | 84-8373-564-4 |
URI: | http://hdl.handle.net/10612/1804 |
Fecha: | 2003-11-11 |
Tipo: | info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/conferenceObject |
subtipo: | info:eu-repo/semantics/lecture |
Materia: | Informática |
Palabras clave: | Robótica Robots móviles Localización RoboCup Bayesian Montecarlo |
Derechos de acceso: | info:eu-repo/semantics/openAccess |
Exportar referencia a Refworks: |
![]() |
Ficheros | Tamaño | Formato | Ver |
---|---|---|---|
caepia03.pdf | 220.2Kb |
Ver/ |