The invention provides a perceptual model training method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining first sample perceptual data collected by the vehicle, the first sample perceptual data having a corresponding first perceptual feature, and determining second sample perceptual data related to key path information, the second sample perceptual data having a corresponding second perceptual feature, the second sample sensing data has a corresponding second sensing feature, determining that the first sample sensing data is target sample sensing data according to the first sensing feature and the second sensing feature, and determining that the weight value of the target sample sensing data in the target scene is greater than a weight threshold value. And training the initial perception model according to the second sample perception data and the target sample perception data to obtain the target perception model, thereby giving full play to the data value of the collected sample perception data, and effectively improving the training effect of the vehicle end perception model based on the sample perception data.
本公开提出一种感知模型的训练方法、装置、车辆及存储介质,方法包括:获取车辆采集的第一样本感知数据,其中,第一样本感知数据具有对应的第一感知特征,并确定与关键路径信息相关的第二样本感知数据,其中,第二样本感知数据具有对应的第二感知特征,再根据第一感知特征和第二感知特征,确定第一样本感知数据是目标样本感知数据,其中,目标样本感知数据在目标场景中的权重值大于权重阈值,再根据第二样本感知数据和目标样本感知数据训练初始感知模型,以得到目标感知模型,从而能够充分发挥采集所得的样本感知数据的数据价值,并能够基于样本感知数据有效地提升车端感知模型的训练效果。
Perception model training method and device, vehicle and storage medium
感知模型的训练方法、装置、车辆及存储介质
2025-03-21
Patent
Electronic Resource
Chinese
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