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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| 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 |
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| caepia03.pdf | 220.2Kb |
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