近日,赛力斯汽车有限公司申请的“一种晕车识别方法、装置、存储介质及设备”专利公布。摘要显示,本申请方法中,利用多源信号样本训练用于预测驾乘人员的晕车状态的教师模型,通过知识蒸馏技术,基于训练好的教师模型提供的软标签和IMU信号样本训练学生模型,将训练好的学生模型确定为晕车识别模型,将该晕车识别模型部署于车载芯片后,通过晕车识别模型对实时采集的车辆IMU信号进行处理,即可得到车辆的驾乘人员的晕车状态...
Source Link近日,赛力斯汽车有限公司申请的“一种晕车识别方法、装置、存储介质及设备”专利公布。摘要显示,本申请方法中,利用多源信号样本训练用于预测驾乘人员的晕车状态的教师模型,通过知识蒸馏技术,基于训练好的教师模型提供的软标签和IMU信号样本训练学生模型,将训练好的学生模型确定为晕车识别模型,将该晕车识别模型部署于车载芯片后,通过晕车识别模型对实时采集的车辆IMU信号进行处理,即可得到车辆的驾乘人员的晕车状态...
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