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AuthorFregin, Andreasdc.contributor.author
AuthorMueller, Juliandc.contributor.author
AuthorDietmayer, Klausdc.contributor.author
Date of accession2019-04-04T11:48:41Zdc.date.accessioned
Available in OPARU since2019-04-04T11:48:41Zdc.date.available
Date of first publication2017dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleThree Ways of using Stereo Vision for Traffic Light Recognitiondc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mess-, Regel- und Mikrotechnikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Source - Title of source2017 28th IEEE Intelligent Vehicles Symposium (IV 2017)source.title
Source - PublisherNew York, NYsource.publisherPlace
Source - Place of publicationIEEEsource.publisher
Source - Year2017source.year
Source - From page430source.fromPage
Source - To page436source.toPage
Source - SerialIEEE Intelligent Vehicles Symposiumsource.series
Source - ISSN1931-0587source.identifier.issn
Source - ISBN978-1-5090-4804-5source.identifier.isbn
Conference name28th IEEE Intelligent Vehicles Symposium (IV)uulm.conferenceName
Conference placeRedondo Beach, CAuulm.conferencePlace
Conference start date2017-06-11uulm.conferenceStartDate
Conference end date2017-06-14uulm.conferenceEndDate
Suitable communityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000425212700067uulm.identifier.wos


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