Research on Recognition of Urban Flooding Process Based on Surveillance Video and Visual AI
|更新时间:2026-03-04
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Research on Recognition of Urban Flooding Process Based on Surveillance Video and Visual AI
“In response to the challenges of urban waterlogging monitoring, experts have proposed a visual AI based method for identifying waterlogging levels and restoring processes. A vehicle reference image dataset has been constructed, and the average detection accuracy of the model has reached 0.673, successfully restoring waterlogging processes in different scenarios and providing a new means for waterlogging monitoring.”
QIN Youwei,LI Xinhao,ZHENG Feifei,et al.Research on Recognition of Urban Flooding Process Based on Surveillance Video and Visual AI[J].Advanced Engineering Sciences,
QIN Youwei,LI Xinhao,ZHENG Feifei,et al.Research on Recognition of Urban Flooding Process Based on Surveillance Video and Visual AI[J].Advanced Engineering Sciences,DOI:10.12454/j.jsuese.202600021.XXXX,XX(XX):1‒11.
Research on Recognition of Urban Flooding Process Based on Surveillance Video and Visual AI