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dc.contributor.authorBerrabah, Sid Ahmed-
dc.contributor.authorBaudoin, Yvan-
dc.contributor.authorSahli, Hichem-
dc.date.accessioned2013-06-24T14:06:34Z-
dc.date.available2013-06-24T14:06:34Z-
dc.date.issued2010-
dc.identifier.issn1726-5479-
dc.identifier.urihttp://dspace.univ-tlemcen.dz/handle/112/2461-
dc.description.abstractTo be able to operate and act successfully, the robot needs to know at any time where it is. This means the robot has to find out its location relative to the environment. This contribution introduces the increase of accuracy of mobile robot positioning in large outdoor environments based on data fusion from different sensors: camera, GPS, inertial navigation system (INS), and wheel encoders. The fusion is done in a Simultaneous Localization and Mapping (SLAM) approach.en_US
dc.language.isoenen_US
dc.publisherUniversity of Tlemcenen_US
dc.subjectMulti-sensors fusionen_US
dc.subjectMobile robotsen_US
dc.subjectNavigationen_US
dc.subjectVisual simultaneous localizationen_US
dc.subjectMappingen_US
dc.titleMulti-Sensor SLAM Approach for Robot Navigationen_US
dc.typeArticleen_US
Collection(s) :Articles internationaux

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