Road hole automatic identification method and system based on deep learning

The invention relates to the technical field of road detection, and particularly discloses a road cavity automatic identification method and system based on deep learning, and the method comprises the steps: obtaining radar detection image data of a road through a ground penetrating radar; carrying...

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Bibliographische Detailangaben
Hauptverfasser: WANG XU, XIA CHAO, LIU YUNWEN, XI CHAOHUA, WEN BIN, WU YINGCHANG, PANG MANYING, KANG YUANXIN, CAI YINGWEN, HUANG JING
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to the technical field of road detection, and particularly discloses a road cavity automatic identification method and system based on deep learning, and the method comprises the steps: obtaining radar detection image data of a road through a ground penetrating radar; carrying out AI intelligent image recognition; drawing a data change curve according to the image information; a road cavity occurrence area is monitored in real time and early warned; according to the method, the radar detection image of the road is acquired by using the ground penetrating radar, the acquired image is subjected to AI intelligent image recognition, the feature information of the image is acquired through corresponding optimization and learning, the data change curve is drawn according to the image feature information, and when the detection data suddenly change, the data change curve also has an abnormal peak value, so that the detection result is more accurate. Therefore, automatic identification of data c