The invention relates to the technical field of vehicles, in particular to a training method of a vehicle trajectory prediction model and a vehicle jam prediction method. According to the embodiment of the invention, the original data comprises the driving data of the two vehicles generating the plugging interaction behavior and also comprises the driving data of the vehicle not generating the plugging interaction behavior, so that the driving data of the vehicle generating the plugging interaction behavior needs to be screened out from the original data, and then the driving data of the vehicle generating the plugging interaction behavior is obtained on the basis of the original plugging data. According to the method and the device, the plugging data is expanded to increase the quantity of the plugging data, and then the plugging data with the increased quantity is put into the original data to obtain new original data, so that the proportion of the plugging scene data in the new original data is enriched, the new original data is adopted to train the trajectory prediction model, and the trajectory prediction accuracy is improved. Therefore, the trained trajectory prediction model is more suitable for predicting and judging the vehicle prediction trajectory required by the plug behavior.
本申请涉及车辆技术领域,具体是涉及一种车辆轨迹预测模型的训练方法和车辆加塞预测方法。本申请实施例的原数据既包括了发生加塞交互行为的两个车辆的行驶数据也包括没有发生加塞交互行为车辆的行驶数据,因此需要从原数据筛选出发生加塞交互行为车辆的行驶数据,然后在原有的加塞数据基础上,对加塞数据进行扩展,以增大加塞数据的数量,之后将增大数量之后的加塞数据放入到原数据中,以得到新的原数据,从而丰富了加塞场景数据在新的原数据中的占比,采用新的原数据训练轨迹预测模型,使得训练之后的轨迹预测模型更加适用于去预测判断是否发生加塞行为所需要的车辆预测轨迹。
Training method of vehicle trajectory prediction model and vehicle jam prediction method
一种车辆轨迹预测模型的训练方法和车辆加塞预测方法
2023-10-17
Patent
Electronic Resource
Chinese
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