Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30900
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAlexeev, V. F.-
dc.contributor.authorStaravoitau, A. I.-
dc.contributor.authorPiskun, G. A.-
dc.contributor.authorLikhacheuski, D. V.-
dc.date.accessioned2018-04-09T07:15:48Z-
dc.date.available2018-04-09T07:15:48Z-
dc.date.issued2018-
dc.identifier.citationEnd to end learning for a driving simulator / V. F. Alexeev and others // Доклады БГУИР. - 2018. - № 2 (112). - С. 85 - 91.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/30900-
dc.description.abstractConvolutional network approach is utilized for training an end-to-end model that would let a car drive itself around the track in a driving simulator by predicting steering angles based on the simulated camera data.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectдоклады БГУИРru_RU
dc.subjectmachine learningru_RU
dc.subjectcomputer visionru_RU
dc.subjectconvolutional networkru_RU
dc.subjectend-to-end learningru_RU
dc.subjectKerasru_RU
dc.titleEnd to end learning for a driving simulatorru_RU
dc.typeСтатьяru_RU
Appears in Collections:№2 (112)

Files in This Item:
File Description SizeFormat 
Alexeev_End.PDF630.23 kBAdobe PDFView/Open
Show simple item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.