The invention provides a training method for a vehicle driving track prediction model, and the method comprises the steps: obtaining first motion state data of a first vehicle in a first time period, and second motion state data of a second vehicle in a historical time period, the second vehicle being a vehicle located in a preset area around the first vehicle in the first time period; mark track feature data of the first vehicle in a second time period is obtained, and the second time period is after the first time period; training an initial vehicle trajectory prediction model according to the first motion state data, the second motion state data and the marked trajectory feature data to obtain a target vehicle trajectory prediction model, so that the target vehicle trajectory prediction model obtained through training can combine the motion state data of the to-be-predicted vehicle and the motion state data of the surrounding vehicles to obtain a target vehicle trajectory prediction model. And the driving track of the to-be-predicted vehicle is comprehensively determined, so that the prediction effect of the vehicle track prediction model can be improved.
本公开提出一种车辆行驶轨迹预测模型的训练方法,包括:获取第一车辆在第一时间段内的第一运动状态数据,及第二车辆在历史时间段内的第二运动状态数据,其中,第二车辆是在第一时间段内处于第一车辆周围预设区域的车辆;获取第一车辆在第二时间段内的标注轨迹特征数据,其中,第二时间段在第一时间段之后;根据第一运动状态数据、第二运动状态数据及标注轨迹特征数据训练初始车辆轨迹预测模型,以获取目标车辆轨迹预测模型,从而使得训练所得的目标车辆轨迹预测模型,能够联合待预测车辆及周围车辆的运动状态数据,综合确定待预测车辆的行驶轨迹,从而能够提升车辆轨迹预测模型的预测效果。
Training method and device of vehicle driving track prediction model, equipment and medium
车辆行驶轨迹预测模型的训练方法、装置、设备及介质
2025-05-09
Patent
Electronic Resource
Chinese
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