The embodiment of the invention discloses a training method and device of a trajectory prediction model, equipment and a medium. The method comprises the steps of obtaining current environment information of a target object at a current moment and historical environment information of a historical moment; respectively inputting the current environment information and the historical environment information into a trajectory prediction model to obtain a current prediction trajectory and a historical prediction trajectory; determining similarity loss according to the current prediction trajectory and the historical prediction trajectory, wherein the similarity loss is used for describing the difference between the current prediction trajectory and the historical prediction trajectory; and training the trajectory prediction model based on the similarity loss, and performing motion trajectory prediction on the target object based on the trained trajectory prediction model. According to the scheme, the trajectory prediction model is trained based on the similarity loss determined according to the current prediction trajectory and the historical prediction trajectory, the continuity and stability of trajectory prediction in the time sequence can be effectively improved, and improvement of the safety and reliability of an automatic driving system is facilitated.
本发明实施例公开了一种轨迹预测模型的训练方法、装置、设备及介质。其中,该方法包括:获取目标对象在当前时刻的当前环境信息和历史时刻的历史环境信息;将当前环境信息和历史环境信息分别输入至轨迹预测模型中,得到当前预测轨迹和历史预测轨迹;根据当前预测轨迹和历史预测轨迹确定相似度损失,相似度损失用于描述当前预测轨迹与历史预测轨迹之间的差异;基于相似度损失对轨迹预测模型进行训练,以基于训练完成的轨迹预测模型对目标对象进行运动轨迹预测。本方案基于根据当前预测轨迹和历史预测轨迹确定的相似度损失对轨迹预测模型进行训练,能够有效地提高轨迹预测在时序上的连贯性和稳定性,有助于提高自动驾驶系统的安全性和可靠性。
Training method and device of trajectory prediction model, equipment and medium
一种轨迹预测模型的训练方法、装置、设备及介质
2025-01-28
Patent
Electronic Resource
Chinese
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