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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/34693
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dc.contributor.authorHeger, D. A.-
dc.date.accessioned2019-03-15T07:32:36Z-
dc.date.available2019-03-15T07:32:36Z-
dc.date.issued2019-
dc.identifier.citationHeger, D. A. Pixel level based convolutional neural networks model for robot navigation / D. A. Heger // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 13 – 14.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/34693-
dc.description.abstractVision-based autonomous robot navigation depicts a vivacious area of research with nu-merous algorithms been developed. Most of the algorithms either focus on scene-oriented simul-taneous localization and mapping (SLAM) or explore robot-oriented lane-detection/trajectory tracking.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectpixel levelru_RU
dc.subjectconvolutional neural networksru_RU
dc.subjectrobot navigationru_RU
dc.titlePixel level based convolutional neural networks model for robot navigationru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)

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