Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45501
DC FieldValueLanguage
dc.contributor.authorDiaz-Cabrera, Moisesen_US
dc.contributor.authorCerri, Pietroen_US
dc.date.accessioned2018-11-22T10:20:21Z-
dc.date.available2018-11-22T10:20:21Z-
dc.date.issued2013en_US
dc.identifier.isbn9783642538612en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/45501-
dc.description.abstractTraffic light recognition in night conditions is explored throughout this paper. A system detecting suspended traffic lights in urban streets is proposed. Images are acquired by a color camera installed on the roof of a car. Fuzzy logic-based clustering provides robust color detection. Additionally, other techniques end up recognizing the traffic light state. The detection rate is quite high and the false positive proportion is really low.
dc.languagespaen_US
dc.publisher0302-9743en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 8112 LNCS, p. 93-100en_US
dc.titleTraffic light recognition during the night based on fuzzy logic clusteringen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference14th International Conference on Computer Aided Systems Theory (EUROCAST)en_US
dc.identifier.doi10.1007/978-3-642-53862-9_13en_US
dc.identifier.scopus84892610185-
dc.identifier.isi000378303900013-
dc.contributor.authorscopusid36760594500-
dc.contributor.authorscopusid6603191255-
dc.description.lastpage100en_US
dc.description.firstpage93en_US
dc.relation.volume8112 LNCSen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid29956019-
dc.contributor.daisngid1425355-
dc.contributor.wosstandardWOS:Diaz-Cabrera, M-
dc.contributor.wosstandardWOS:Cerri, P-
dc.date.coverdateDiciembre 2013en_US
dc.identifier.conferenceidevents121494-
dc.identifier.conferenceidevents121494-
dc.identifier.ulpgces
dc.description.sjr0,329
dc.description.sjrqQ3
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Física-
crisitem.author.orcid0000-0003-3878-3867-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameDíaz Cabrera, Moisés-
crisitem.event.eventsstartdate10-02-2013-
crisitem.event.eventsenddate15-02-2013-
Appears in Collections:Actas de congresos
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