
Neural network methods in real-time recognition of road infrastructure objects
Author(s) -
M. G. Gorodnichev,
M. S. Moseva,
M. V. Yashina,
Kh. A. Dzhabrailov,
R. A. Gematudinov
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/918/1/012077
Subject(s) - computer science , task (project management) , artificial neural network , artificial intelligence , work (physics) , typification , computer vision , engineering , systems engineering , mechanical engineering , taxonomy (biology) , botany , nomenclature , biology
The purpose of the work is to study the typification methods of moving objects based on a neural network. It turned out that the use of image classifications is so widespread today that it is difficult to imagine a sphere in which any algorithms are not implemented. The task of the work is developing system for detecting road signs on the video.