The invention discloses a data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining real-time driving data, the real-time driving data comprises current vehicle information and vehicle surrounding environment information, and under the condition that the current vehicle information meets a preset collection condition, determining whether the current vehicle information meets the preset collection condition or not based on the current vehicle information and the vehicle surrounding environment information; the method comprises the steps of determining a first target acquisition range, acquiring first target driving data in the first target acquisition range, performing scene recognition on the first target driving data to obtain a first target scene type corresponding to the first target driving data, and taking the first target driving data as model training data corresponding to the first target scene type. According to the embodiment of the invention, the effectiveness of the collected model training data can be ensured, data redundancy is avoided, and the accuracy and efficiency of model training are improved.
本发明公开一种数据处理方法、装置、电子设备及存储介质,该方法包括获取实时驾驶数据,实时驾驶数据包括当前车辆信息及车辆周围环境信息,在当前车辆信息满足预设采集条件的情况下,基于当前车辆信息与所述车辆周围环境信息,确定第一目标采集范围,采集第一目标采集范围内的第一目标驾驶数据,对第一目标驾驶数据进行场景识别,得到第一目标驾驶数据对应的第一目标场景类型,将第一目标驾驶数据作为第一目标场景类型对应的模型训练数据。利用本发明公开实施例能够保证采集的模型训练数据的有效性,避免数据冗余,提高模型训练的准确性及效率。
Data processing method and device, electronic equipment and storage medium
一种数据处理方法、装置、电子设备及存储介质
2022-10-04
Patent
Elektronische Ressource
Chinesisch
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