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Research on Recognition of Urban Flooding Process Based on Surveillance Video and Visual AI
更新时间:2026-03-04
    • 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.
    • Advanced Engineering Sciences   Pages: 1-11(2026)
    • DOI:10.12454/j.jsuese.202600021    

      CLC: TV122
    • Received:07 January 2026

      Revised:2026-02-14

      Online First:04 March 2026

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  • 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.

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