The invention relates to the field of vehicle tracks, in particular to a YOLOv5-based vehicle track data extraction method, which comprises the following steps of: making a vehicle aerial photography data set, and constructing a vehicle training image under an aerial photography video; a YOLOv5 model is manufactured, a deep learning framework based on Pytorch is used for training of a target detection model YOLOv5, and a YOLOv5 weight file is obtained after training is completed; detecting and tracking the vehicle; coordinate transformation of the vehicle track; and carrying out noise reduction on the vehicle track to obtain real vehicle track information. The YOLOv5 training model is utilized to train the vehicle training image, target vehicle information is effectively extracted, vehicle trajectory analysis is carried out through the two-dimensional discrete frame image, vehicle congestion information is effectively obtained, and effective planning of a traffic department on a driving lane is facilitated.

    本发明涉及车辆轨迹领域,具体是指一种基于YOLOv5的车辆轨迹数据提取方法,包括制作车辆航拍数据集,构建航拍视频下的车辆训练图像;制作YOLOv5模型,使用基于Pytorch的深度学习框架进行目标检测模型YOLOv5的训练,训练完成后获得YOLOv5权重文件;车辆的检测和跟踪;车辆轨迹的坐标转化;车辆轨迹的降噪,获得真实的车辆轨迹信息。本发明利用YOLOv5训练模型才对车辆训练图像进行训练,有效提取目标车辆信息,通过二维离散帧图进行车辆轨迹分析,有效获取车辆拥堵信息,有利于对交通部门对行车车道进行有效规划。


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    Titel :

    Vehicle track data extraction method based on YOLOv5


    Weitere Titelangaben:

    一种基于YOLOv5的车辆轨迹数据提取方法


    Beteiligte:
    XIE BOYA (Autor:in) / WAN QIAN (Autor:in) / PENG GUOQING (Autor:in)

    Erscheinungsdatum :

    2023-08-01


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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