The invention discloses a motion trail prediction method, device and equipment, a medium and a product, and is applied to the technical field of traffic. The method comprises the following steps: inputting collected historical motion information into a motion track prediction model; the motion trail prediction model is determined by adopting sparse Gaussian process regression; a covariance matrix of the motion trail prediction model is obtained by solving a trail induction point, and the trail induction point is determined according to a real trail sample. Then, target track induction points with high similarity and historical motion information are found; and finally, based on the target trajectory induction point, determining a predicted motion trajectory of the target object in a future target time period. According to the scheme provided by the embodiment of the invention, track prediction is carried out by adopting an induction point mode, and the corresponding track induction point can be quickly found according to the historical motion information, so that the future motion track is predicted. The process does not need a large amount of operation, so that the reasoning speed can be increased, and the real-time performance of motion trail prediction is improved.
本申请公开了一种运动轨迹预测方法、装置、设备、介质及产品,应用于交通技术领域。本方法将采集的历史运动信息输入运动轨迹预测模型;运动轨迹预测模型采用稀疏高斯过程回归确定;运动轨迹预测模型的协方差矩阵由轨迹诱导点求解得到,轨迹诱导点根据真实轨迹样本确定。接着,找到相似度与历史运动信息较高的目标轨迹诱导点;最后基于目标轨迹诱导点,确定目标对象在未来目标时间段的预测运动轨迹。因为本申请实施例所提方案采用诱导点的方式进行轨迹预测,可根据历史运动信息快速找到对应的轨迹诱导点,从而对未来的运动轨迹进行预测。这个过程不需要进行大量的运算,从而能够加快推理速度,提高运动轨迹预测的实时性。
Motion track prediction method, device, equipment, medium and product
一种运动轨迹预测方法、装置、设备、介质及产品
2024-11-15
Patent
Electronic Resource
Chinese
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