The invention relates to the field of computer technology, and relates to a traffic accident prediction method, which comprises the following steps: acquiring an image frame acquired by an automobile data recorder; target detection is carried out on the image frame, feature extraction is carried out on a detected target, target-level features of the image frame are obtained, and the target is a preset traffic participant; performing global feature extraction on the image frames to obtain frame-level features of the image frames; performing feature fusion on the target-level features and the frame-level features of the image frames to obtain fusion features; and determining a risk score of a future traffic accident of the image frame according to the fusion feature, and obtaining a traffic accident prediction result. The invention further provides a traffic accident prediction system and device and a storage medium. The image frame feature utilization rate can be improved, and the accuracy of a traffic accident prediction result is improved.
本发明涉及计算机技术的领域,涉及一种交通事故预测方法,包括:获取行车记录仪采集的图像帧;对图像帧进行目标检测,并对检测到的目标进行特征提取,得到图像帧的目标级特征,其中,所述目标为预设的交通参与者;对图像帧进行全局特征提取,得到图像帧的帧级特征;将图像帧的目标级特征和帧级特征进行特征融合,得到融合特征;根据融合特征确定图像帧未来发生交通事故的风险分数,得到交通事故预测结果。本发明还提出一种交通事故预测系统、设备以及存储介质。本发明能够提高图像帧特征利用率,提高交通事故预测结果的准确性。
Traffic accident prediction method, system and device and storage medium
一种交通事故预测方法、系统、设备及存储介质
2025-01-10
Patent
Electronic Resource
Chinese
IPC: | G06V / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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