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| dc.contributor | Escuela de Ingenierias Industrial e Informatica | en_US |
| dc.contributor.author | Crespo, María A. | |
| dc.contributor.author | Cañas, José María | |
| dc.contributor.author | Matellán Olivera, Vicente | |
| dc.contributor.other | Arquitectura y Tecnologia de Computadores | en_US |
| dc.date | 2003-11-11 | |
| dc.date.accessioned | 2012-07-09T12:13:22Z | |
| dc.date.available | 2012-07-09T12:13:22Z | |
| dc.date.issued | 2012-07-09 | |
| dc.identifier.citation | CAEPIA-TTIA'2003, 11-14 de noviembre, 2003, San Sebastián | en_US |
| dc.identifier.isbn | 84-8373-564-4 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10612/1804 | |
| dc.description.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 | en_US |
| dc.language | eng | en_US |
| dc.subject | Informática | en_US |
| dc.subject.other | Robótica | en_US |
| dc.subject.other | Robots móviles | en_US |
| dc.subject.other | Localización | en_US |
| dc.subject.other | RoboCup | en_US |
| dc.subject.other | Bayesian | en_US |
| dc.subject.other | Montecarlo | en_US |
| dc.title | Comparing Bayesian and Montecarlo localization for a robot with local vision | en_US |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | en_US |
| dc.type.other | info:eu-repo/semantics/lecture | en_US |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
