The invention discloses an expressway agglomerate fog early warning system based on a deep fusion network. The method comprises the steps of 1, obtaining a to-be-detected image; 2, performing high-frequency filtering to obtain a frequency domain characteristic graph; 3, extracting a saturation component of the to-be-detected image as a saturation graph; 4, performing spectral transformation on theto-be-detected image to obtain a spectrogram; 5, respectively sending the frequency domain characteristic graph, the spectrogram and the original graph into a convolutional neural network; 6, splicing and fusing the three extracted characteristics; 7, carrying out classification to obtain classification grade information of fog; 8, constructing a training sample; 9, training a deep learning network based on a CNN; 10, for the to-be-detected image, judging the visibility level of the current camera monitoring road section according to the classification result; and 11, sending a low-visibilityalarm and an agglomerate fog early warning to the traffic management department of each road section. According to the invention, the advantage of massive monitoring of an expressway is more effectively utilized, and timely early warning is carried out.

    本发明公开了一种基于深度融合网络的高速公路团雾预警系统,步骤1:获取待检测图像;步骤2:高频滤波,得到频域特征图;步骤3:将待检测图像提取饱和度分量作为饱和度图;步骤4:将待检测图像进行光谱变换,得到光谱图;步骤5:将频域特征图、光谱图与原图分别送入卷积神经网络;步骤6:将所提取的三个特征进行拼接融合;步骤7:进行分类得到雾的分类等级信息;步骤8:构建训练样本;步骤9:训练基于CNN的深度学习网络;步骤10:对于待检测图像,根据分类结果判断当前摄像头监控路段的能见度等级;步骤11:向各个路段的交通管理部门发出低能见度警报以及团雾预警。本发明更有效的利用了高速公路大量监控的优势,进行及时预警。


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    Title :

    Expressway agglomerate fog early warning system based on deep fusion network


    Additional title:

    一种基于深度融合网络的高速公路团雾预警系统


    Contributors:
    GUAN YUSHENG (author) / HU JIA (author) / CHE SHAOSHUAI (author) / LIU DAWEI (author) / ZHANG QIUMING (author) / WANG YIMING (author) / LIU JIEMEI (author)

    Publication date :

    2021-02-26


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen




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