The embodiment of the invention provides vehicle track prediction and model training methods, equipment and devices and a storage medium. The method comprises the following steps: acquiring vehicle position observation data, vehicle monitoring data and vehicle sensor data in a first time period; determining a corresponding vehicle state decision rule according to the vehicle position observation data, the vehicle monitoring data and the vehicle sensor data; and inputting the vehicle position observation data, the vehicle monitoring data and the vehicle sensor data in the first time period and the vehicle state decision rule into the trained vehicle motion state model, and outputting a predicted model prediction trajectory after the first time period. A large amount of various types of data in a first time period are obtained through various different modes, then a vehicle state decision rule is obtained, and the data in the first time period and the vehicle state decision rule are input into a trained vehicle motion state model. Therefore, the trained vehicle motion state model can carry out track prediction more accurately.
本申请实施例提供车辆轨迹预测、模型训练方法、设备、装置及存储介质。该方法包括:获取第一时间段内的车辆位置观测数据、车辆监测数据以及车辆传感器数据;根据车辆位置观测数据、车辆监测数据以及车辆传感器数据,确定对应的车辆状态决策规则;将第一时间段内的车辆位置观测数据、车辆监测数据以及车辆传感器数据,和车辆状态决策规则输入训练好的车辆运动状态模型,输出预测到的第一时间段后的模型预测轨迹。通过多种不同方式获取大量多种类型的第一时间段内的数据,进而得到车辆状态决策规则,将第一时间段内的数据和车辆状态决策规则输入到训练好的车辆运动状态模型,从而使得训练好的车辆运动状态模型能够更加精准的进行轨迹预测。
Vehicle track prediction method, vehicle track model training method, vehicle track prediction equipment, vehicle track model training device and storage medium
车辆轨迹预测、模型训练方法、设备、装置及存储介质
2023-09-01
Patent
Electronic Resource
Chinese
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