The invention discloses a vehicle motion trail prediction method and system, and belongs to the technical field of surface mine unmanned driving. The method comprises the following steps: preprocessing vehicle motion trail data collected in real time, inputting the preprocessed vehicle motion trail data into a pre-trained machine learning model, and predicting to obtain a motion trail of a vehicle at a future moment; determining the grade of the collision risk according to the predicted motion track of the vehicle at the future moment, and providing an early warning signal according to the grade of the collision risk; the method is suitable for mining vehicles, and can solve the problems of low prediction precision and slow response speed.
本发明公开一种车辆运动轨迹预测方法及系统,属于露天矿山无人驾驶技术领域。其包括对实时采集的车辆运动轨迹数据进行预处理,并将预处理后的车辆运动轨迹数据输入预先训练的机器学习模型,预测得到车辆未来时刻的运动轨迹;根据预测得到车辆未来时刻的运动轨迹确定碰撞风险的等级,根据碰撞风险等级,提供预警信号;本发明适用于矿用车辆,能够解决预测精度低、响应速度慢的问题。
Vehicle motion trail prediction method and system
一种车辆运动轨迹预测方法及系统
2025-02-14
Patent
Electronic Resource
Chinese
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