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dc.contributor.authorFalomir, Zoe
dc.contributor.authorMuseros, Lledó
dc.contributor.authorCastelló, Vicente
dc.contributor.authorGonzalez Abril, Luis
dc.date.accessioned2014-05-08T18:22:38Z
dc.date.available2014-05-08T18:22:38Z
dc.date.issued2013
dc.identifier.issn0167-8655
dc.identifier.urihttp://hdl.handle.net/10234/91672
dc.description.abstractPatterns of qualitative concepts are extracted from robot sensors in order to describe the shapes, colours, spatial orientations and topology situations of natural landmarks in the robot environment and also the distance to them. Those qualitative patterns are obtained at a low level sensor data processing and without using training on datasets or learning techniques. A qualitative distance integration approach is parametrized and applied to detect glass windows and mirrors. Corners and columns are detected by the laser sensor and described qualitatively as relevant landmarks. Images taken by the robot camera are described qualitatively for completing the description of the objects located in the robot environment. Experimentation carried out shows that the integration of the information provided enhances the robot perception.ca_CA
dc.format.extent13 p.ca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfPattern Recognition Letters, 2013, Mayo, Vol. 34, nº 7ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectSensor data integrationca_CA
dc.subjectFuzzy logicca_CA
dc.subjectQualitative shapeca_CA
dc.subjectQualitative colourca_CA
dc.subjectTopologyca_CA
dc.subjectQualitative spatial orientationca_CA
dc.titleQualitative distances and qualitative image descriptions for representing indoor scenes in roboticsca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1016/j.patrec.2012.08.012
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://ac.els-cdn.com/S0167865512002681/1-s2.0-S0167865512002681-main.pdf?_tid=6418a03a-d6dd-11e3-9f74-00000aacb35f&acdnat=1399573390_f741ad2dac792af52beecd4653a2f221ca_CA


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