The invention provides a vehicle near collision detection method and device, terminal equipment and a storage medium. The method comprises the steps that an initial training model set and a training sample set are acquired; performing learning training on each initial training model in the initial training model set based on the training sample set to obtain a near collision detection model set corresponding to the initial training model set; obtaining a to-be-detected image, determining a target vehicle candidate near-collision detection model which is most matched with the to-be-detected image from the near-collision detection model set, and determining target vehicle candidate model parameters; other vehicle candidate model parameters corresponding to other vehicle candidate near collision detection models sent by other vehicles in the vehicle cluster are obtained; performing model aggregation on the target vehicle candidate model parameters and other vehicle candidate model parameters to obtain a federal near collision detection model; and performing near-collision detection on the to-be-detected image by using the federal near-collision detection model to obtain a near-collision detection result. According to the method, the accuracy of near collision detection can be improved.
本申请提供一种车辆的近撞检测方法、装置、终端设备和存储介质,其方法包括:获取初始训练模型集和训练样本集;基于训练样本集对初始训练模型集中的每一初始训练模型进行学习训练,得到与初始训练模型集对应的近撞检测模型集;获取待检测图像,并从近撞检测模型集中确定与待检测图像最匹配的目标车辆候选近撞检测模型,确定目标车辆候选模型参数;获取车辆集群中各其他车辆发送的与其他车辆候选近撞检测模型对应的其他车辆候选模型参数;对目标车辆候选模型参数和其他车辆候选模型参数进行模型聚合,得到联邦近撞检测模型;利用联邦近撞检测模型对待检测图像进行近撞检测,得到近撞检测结果。本方法能够提高近撞检测的精准度。
Vehicle near collision detection method and device, terminal equipment and storage medium
一种车辆的近撞检测方法、装置、终端设备和存储介质
2024-12-31
Patent
Electronic Resource
Chinese
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