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dc.contributor.authorFernández Caballero, Antonioes_ES
dc.contributor.authorAcevedo Rodríguez, Javieres_ES
dc.contributor.authorAlmansa Valverde, Sergioes_ES
dc.contributor.authorCastillo Montoya, José Carloses_ES
dc.contributor.authorCuadra Troncoso, José Manueles_ES
dc.date.accessioned2012-03-20T07:11:50Z
dc.date.available2012-03-20T07:11:50Z
dc.date.issued2011es_ES
dc.identifier.citationLecture Notes in Computer Science, 2011, 6687: 371-380es_ES
dc.identifier.issn0302-9743es_ES
dc.identifier.urihttp://hdl.handle.net/10578/2124
dc.description.abstractIn this paper, the Harris corner detection algorithm is applied to images captured by a time-of-flight (ToF) camera. In this case, the ToF camera mounted on a mobile robot is exploited as a gray-scale camera for localization purposes. Indeed, the gray-scale image represents distances for the purpose of finding good features to be tracked. These features, which actually are points in the space, form the basis of the spatial relations used in the localization algorithm. The approach to the localization problem is based on the computation of the spatial relations existing among the corners detected. The current spatial relations are matched with the relations gotten during previous navigation.es_ES
dc.formattext/plainen_US
dc.language.isoesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIngenieríases_ES
dc.subjectFísica química y matemáticases_ES
dc.titleMobile robot localization through identifying spatial relations from detected cornerses_ES
dc.typeinfo:eu-repo/semantics/articleen_US


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