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Damage Recognition of Road Auxiliary Facilities Based on Deep Convolution Network for Segmentation and Image Region Correction

The damage of road auxiliary facilities poses a major hidden danger to driving safety. It is urgent to study a method that can automatically detect the damage of the road auxiliary facilities and provide help for the maintenance of traffic safety auxiliary facilities. In the method for identifying t...

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Bibliografische gegevens
Hoofdauteurs: Yuanshuai Dong, Yanhong Zhang, Yun Hou, Xinlong Tong, Qingquan Wu, Zuofeng Zhou, Yuxuan Cao
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Hindawi Limited 2022-01-01
Reeks:Advances in Civil Engineering
Online toegang:http://dx.doi.org/10.1155/2022/5995999
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