The invention discloses a traffic engineering environment intelligent detection system, which comprises an unmanned aerial vehicle (1), a navigation unit (2), a camera shooting unit (3) and an identification detection unit (4), and further discloses a traffic engineering environment intelligent detection method, the unmanned aerial vehicle carries the camera shooting unit to carry out shooting identification detection along a road, and determining whether the name and the position of the highway traffic signboard are consistent with the highway traffic signboard construction drawing or not. According to the traffic engineering environment intelligent detection system and method, the unmanned aerial vehicle is used for shooting the images, the identification accuracy and the identificationspeed are improved through the imaging brightness difference between a traffic signboard retroreflector and a background bottom plate, the shaking amount serves as the input condition of the model, and the identification speed and the identification accuracy are improved.

    本发明公开了一种交通工程环境智能检测系统,包括无人机(1)、导航单元(2)、摄像单元(3)和识别检测单元(4),还公开了一种交通工程环境智能检测方法,通过无人机搭载摄像单元沿公路进行拍摄识别检测,确定公路交通标志牌的名称和位置是否与公路交通标志牌施工图一致。本发明公开的交通工程环境智能检测系统和方法,通过无人机拍摄图像,利用交通标志牌逆反射体和背景底板成像亮度差异提高识别准确率和识别速度,将晃动量作为模型的输入条件,提高了识别速度和识别准确性。


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    Title :

    Traffic engineering environment intelligent detection system


    Additional title:

    交通工程环境智能检测系统


    Contributors:
    YANG JIANGUO (author) / MENG YU (author) / LI XIAOXIA (author) / WU GUAN (author) / DENG RENQIONG (author) / JIN XIAOQING (author) / WANG LEI (author)

    Publication date :

    2020-12-11


    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



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