首页> 外国专利> Automotive vehicle seat occupancy status classification method characterized in that filtered class is associated to specific seat occupancy status based on successive readings of parameter value of seat occupancy sensor

Automotive vehicle seat occupancy status classification method characterized in that filtered class is associated to specific seat occupancy status based on successive readings of parameter value of seat occupancy sensor

机译:汽车座椅占用状态分类方法,其特征在于,基于座椅占用传感器的参数值的连续读数,将过滤后的类别与特定的座椅占用状态相关联

摘要

The method is characterized in that a filtered class is associated to a specific seat occupancy status based on a number of successive readings of at least one parameter value of a seat occupancy sensor. The method comprise the steps of: (1) determining an actual value of a first parameter of the seat occupancy sensor and associating an actual class to the actual value of the first parameter; (2) storing the actual class in a buffer comprising several previously determined classes; (3) plotting a confidence parameter, which is indicative of the reliability of the actual class; and (4) setting an updated filtered class to equal: (1) an average of the classes stored in the buffer, if the confidence parameter is smaller than a first confidence threshold value; and (2) the previously determined filtered class, if the confidence parameter is greater than the first confidence threshold value. The updated filtered class is set to equal the previously determined filtered class, if the confidence parameter is equal to the first confidence threshold value.
机译:该方法的特征在于,基于座位占用传感器的至少一个参数值的多个连续读数,将过滤后的类别与特定的座位占用状态相关联。该方法包括以下步骤:(1)确定座位占用传感器的第一参数的实际值,并将实际类别与第一参数的实际值相关联; (2)将实际类别存储在包括多个先前确定的类别的缓冲器中; (3)绘制置信度参数,该参数指示实际类别的可靠性; (4)将更新后的过滤后的类别设置为等于:(1)如果置信度参数小于第一置信度阈值,则存储在缓冲器中的类别的平均值。 (2)如果所述置信度参数大于所述第一置信度阈值,则先前确定的过滤后的类别。如果置信度参数等于第一置信度阈值,则将更新后的过滤后的类别设置为等于先前确定的过滤后的类别。

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