Method of predicting an empty seat condition in an occupancy sensing system
First Claim
1. A method of predicting an empty seat condition for a vehicle seat having an occupancy sensing system with a sensor array assembly, said method including the steps of:
- determining a first resultant value based on the change between the differences among a first series of sensor readings taken from the sensor array over a first predetermined period of time;
determining a second resultant value based on the change between the differences among a second series of sensor readings taken from the sensor array over a second predetermined period of time;
summing said first and second resultant values to determine if the summed value is negative;
re-determining the first and second resultant values and re-summing if the summed value is positive;
calculating the change in the first and second resultant values as a function of time to determine if the calculated change is greater than a predetermined value if the summed value is negative; and
classifying the vehicle seat as empty if the summed value is negative and calculated change is greater than the predetermined amount.
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Accused Products
Abstract
A method of predicting an empty seat condition for a vehicle seat having an occupancy sensing system with a sensor array assembly. The method includes determining a first resultant value based on the change between the differences among a first series of sensor readings taken from the sensor array over a predetermined period of time, and determining a second resultant value based on the change between the differences among a second series of sensor readings taken over a different predetermined period of time. The first and second resultant values are summed and if the summed value is negative the change in the first and second resultant values is calculated in terms of time to determine if it is greater than a predetermined value. Further, the the vehicle seat is classified as empty if the summed value is negative and calculated change is greater than the predetermined amount.
109 Citations
16 Claims
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1. A method of predicting an empty seat condition for a vehicle seat having an occupancy sensing system with a sensor array assembly, said method including the steps of:
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determining a first resultant value based on the change between the differences among a first series of sensor readings taken from the sensor array over a first predetermined period of time;
determining a second resultant value based on the change between the differences among a second series of sensor readings taken from the sensor array over a second predetermined period of time;
summing said first and second resultant values to determine if the summed value is negative;
re-determining the first and second resultant values and re-summing if the summed value is positive;
calculating the change in the first and second resultant values as a function of time to determine if the calculated change is greater than a predetermined value if the summed value is negative; and
classifying the vehicle seat as empty if the summed value is negative and calculated change is greater than the predetermined amount. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of predicting an empty vehicle seat for an occupancy sensing system having a vehicle seat with a sensor array, said method including the steps of:
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measuring the individual sensor outputs from the sensor array;
computing a first average value of the sensor readings to yield a first sensor reading;
re-measuring the individual sensor outputs from the sensor array;
computing a second average value of the sensor readings to yield a second sensor reading;
re-measuring the individual sensor outputs from the sensor array;
computing a third average value of the sensor readings to yield a third sensor reading;
re-measuring the individual sensor outputs from the sensor array;
computing a fourth average value of the sensor readings to yield a fourth sensor reading;
summing the first average value with the second average value to yield a first difference value;
summing the second average value with the third average value to yield a second difference value;
summing the third average value with the fourth average value to yield a third difference value;
summing the first and second difference values to yield a first resultant value;
summing the second and third difference values to yield a second resultant value;
summing said first and second resultant values and determining if the summed value is negative;
calculating the change in the first and second resultant values as a function of time to determine if the calculated change is greater than a predetermined value; and
classifying the vehicle seat as empty if the summed value is negative and calculated change is greater than the predetermined amount. - View Dependent Claims (15, 16)
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Specification