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How can sustainable public transport be improved? A traffic sign recognition approach using convolutional neural network

author
Liu, Jingjing
Ge, Hongwei
Li, Jiajie
He, Pengcheng
Hao, Zhangang
Hitch, Michael William
statement of authorship
Jingjing Liu, Hongwei Ge, Jiajie Li, Pengcheng He, Zhangang Hao and Michael Hitch
source
publisher
journal volume number month
vol. 5, 19
year of publication
pages
art. 7386, 14 p. : ill
url
ISSN
1996-1073
notes
Bibliogr.: 38 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
inglise
subject term
keyword
sustainable public transport
traffic sign recognition
convolutional neural network
maxout
k-means
Reserch Group
Mining and mineral technology division
Liu, J., Ge, H., Li, J., He, P., Hao, Z., Hitch, M. How can sustainable public transport be improved? A traffic sign recognition approach using convolutional neural network // Energies (2022) vol. 5, 19, art. 7386, 14 p. : ill. https://doi.org/10.3390/en15197386