The invention discloses a traffic track prediction model training method, a traffic track prediction method and a related device, and the method comprises the steps: obtaining data of a plurality of objects in a traffic environment as training data which is marked with a first traffic track of a vehicle object, inputting the training data into a preset traffic track prediction model, fusing the data of the vehicle object and the object related to the vehicle object, predicting a second traffic track of the vehicle object according to the fused data, and updating the traffic track prediction model according to the first traffic track and the second traffic track; judging whether a preset training condition is met or not; if yes, determining that the traffic track prediction model completes training; the traffic trajectory prediction model fuses the data of the vehicle object and the data of the non-vehicle object related to the vehicle object, so that the situation that the global feature fuses the data of the object irrelevant to the vehicle trajectory prediction is avoided, redundant information in the global feature is reduced, and the accuracy of the predicted traffic trajectory is improved.
本发明公开了一种交通轨迹预测模型训练、交通轨迹预测方法及相关装置,包括:获取交通环境中多个对象的数据作为训练数据,训练数据标注有车辆对象的第一交通轨迹,将训练数据输入预置的交通轨迹预测模型中,对车辆对象、与车辆对象相关的对象的数据进行融合,并依据融合后的数据预测车辆对象的第二交通轨迹,根据第一交通轨迹和第二交通轨迹更新交通轨迹预测模型;判断是否满足预设的训练条件;若是,确定交通轨迹预测模型完成训练;交通轨迹预测模型对车辆对象、与车辆对象相关的非车辆对象的数据进行融合,避免了全局特征融合了与车辆轨迹预测无关的对象的数据,降低了全局特征中的冗余信息,提高了预测得到的交通轨迹的准确度。
Traffic track prediction model training method, traffic track prediction method and related device
交通轨迹预测模型训练、交通轨迹预测方法及相关装置
2024-01-12
Patent
Elektronische Ressource
Chinesisch
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