Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
THE USE OF THE YOLO NEURAL NETWORK IN THE TASK OF SEPARATING VEHICLES AND PEDESTRIANS AT A SIGNAL-CONTROLLED INTERSECTION
Form of presentationArticles in international journals and collections
Year of publication2020
Языканглийский
  • Fatikhova Larisa Engelsovna, author
  • Yakupova Gulnara Anvarovna, author
  • Bibliographic description in the original language Yakupova G.A. The Use of the YOLO neural network in the task of separating vehicles and pedestrians at a signal-controlled intersection / Ibriaeva O., Zhulev A., Chizhova M., Shepelev V., Yakupova G., Fatikhova L. // Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020 17 November 2020, Nomer stati 9267845, Pages 303-308.
    Annotation Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020
    Keywords computer vision, intelligent transport systems, neural network, traffic flow, YOLOv3
    The name of the journal Proceedings - 2020 Global Smart Industry Conference, GloSIC 2020
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=262322&p_lang=2

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