The invention relates to a driving style recognition method and device, a model training method and device and computer equipment. The method comprises the steps of obtaining a training data set, inputting driving style feature sample data in the training data set into an initial driving style recognition model to obtain a predicted driving style output by the model, and determining a loss value according to a set loss function, a driving style label corresponding to the driving style feature sample data and the predicted driving style. And updating network parameters of the initial driving style recognition model by adopting a gradient descent method according to the loss value until convergence to obtain the driving style recognition model. The training is based on the driving style characteristic sample data including the maximum longitudinal acceleration value, the maximum transverse acceleration value and the maximum value of the product of the steering wheel angle and the vehicle speed, so that the model can learn the operation styles of the user during steering, acceleration and deceleration, and the trained model can accurately identify the driving style.
本申请涉及一种驾驶风格识别方法、模型训练方法、装置和计算机设备。其通过获取训练数据集,将训练数据集中驾驶风格特征样本数据输入初始驾驶风格识别模型,得到模型输出的预测驾驶风格,根据设定的损失函数、驾驶风格特征样本数据对应的驾驶风格标签以及预测驾驶风格,确定损失值,根据损失值采用梯度下降法更新初始驾驶风格识别模型的网络参数,直到收敛时得到驾驶风格识别模型。由于在训练时是基于包括纵向加速度最大值、横向加速度最大值以及方向盘转角与车速乘积的最大值的驾驶风格特征样本数据,因此模型能够学习到用户转向、加速以及减速时的操作风格,从而使得训练后的模型能够准确识别驾驶风格。
Driving style recognition method and device, model training method and device and computer equipment
驾驶风格识别方法、模型训练方法、装置和计算机设备
2024-10-15
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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