The invention provides a prediction track evaluation method and device, electronic equipment and a computer readable medium, and relates to the technical field of automatic driving, and the method comprises the steps: collecting driving data, inputting a feature sample of the driving data into a first prediction track algorithm model, obtaining prediction track data of a plurality of target objects around a vehicle, and obtaining a prediction track evaluation result; according to the real trajectory data of the driving data target object, evaluating the predicted trajectory data and the real trajectory data according to a preset evaluation index to obtain a predicted trajectory evaluation result, and training a first predicted trajectory algorithm model based on the evaluation result; and after the training of the first prediction trajectory algorithm model is completed, deploying on the vehicle. According to the method, a predicted trajectory and a real trajectory are evaluated through a preset evaluation index, algorithm iteration is performed on a predicted trajectory algorithm model, and the trained predicted trajectory algorithm model is deployed on an automatic driving vehicle, so that data is acquired from the vehicle to train the model, and the model is deployed to a data closed loop of the vehicle.
本申请提供一种预测轨迹评估方法、装置、电子设备及计算机可读介质,涉及自动驾驶技术领域,包括,采集行驶数据,将行驶数据的特征样本输入到第一预测轨迹算法模型中,得到自车周围的多个目标对象的预测轨迹数据,行驶数据目标对象的真实轨迹数据,按照预设评估指标,对预测轨迹数据与真实轨迹数据进行评估,得到预测轨迹评估结果,基于评估结果对第一预测轨迹算法模型进行训练;在第一预测轨迹算法模型训练完成后部署在自车上。通过预设评估指标对预测轨迹和真实轨迹进行评估,并对预测轨迹算法模型进行算法迭代,并将训练好的预测轨迹算法模型部署在自动驾驶车辆上,从而实现从自车上获取数据对模型进行训练,到模型部署到自车的数据闭环。
Prediction trajectory evaluation method and device, electronic equipment and computer readable medium
预测轨迹评估方法、装置、电子设备及计算机可读介质
2024-04-09
Patent
Electronic Resource
Chinese
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