Method and a system for processing measurement signals for characterizing the state of occupancy of a motor vehicle seat

• US 20050154516A1
• Filed: 12/10/2004
• Published: 07/14/2005
• Est. Priority Date: 12/15/2003
• Status: Abandoned Application

• Current Assignee: Faurecia SA
• Original Assignee: Faurecia SA
• Inventors: Chabert, Laurent, Billon, Bertrand, Rochat, Eric, Rogard, Yann, Dirand, Herve, Fays, Frederic
• Application Number:
  US11/009,719
• Publication Number:
  US 20050154516A1
• Time in Patent Office: Days
• US Class Current: 701/45
• CPC Class Codes: B60R 21/01532 using electric or capacitive field sensors
• CPC Class Codes: B60R 21/01556 Child-seat detection systems

Abstract

A method of processing measurement signals output from a detection array comprising at least one sensor, for characterizing the state of occupancy of a motor vehicle seat. The method includes a classification operation for classifying the state of occupancy of the seat. The method also includes a correction operation, during which the measurement signal output by the detection array is corrected at least in part for environmental drift relating to temperature and to humidity prior to being analyzed in the classification operation for classifying the state of occupancy.

Claims

1. A method of processing measurement signals output from a detection array comprising at least one sensor, for characterizing the state of occupancy of a motor vehicle seat, said method including a classification operation for classifying the state of occupancy of the seat, during which analysis of a measurement signal output by each sensor of the detection array delivers a first item of information about the occupancy, which item is classified in a first class if the seat is empty or occupied by a child restraint device, and classified in a second class if the seat is occupied by an adult;

said method further including a correction operation, during which the measurement signal output by each sensor of the detection array is corrected at least in part for environmental drift relating to temperature and to humidity prior to being analyzed in the classification operation for classifying the state of occupancy, the measurement signal form each sensor being corrected by using a combination of prior measurements output by said sensor.

2. A method according to claim 1, in which the correction operation also takes account of any interference generated by contact between the passenger and the bodywork of the vehicle.

3. A method according to claim 1, in which the correction operation also takes account of any interference generated by the presence of a wet obstacle.

4. A method according to claim 1, also including a classification operation for classifying the position of the occupant in the seat, during which analysis of the signal output from the correction operation delivers information about the position of an occupant in the seat.

5. A method according to claim 4, in which the classification operation for classifying the position of the occupant in the seat also delivers information about the distance between the occupant and at least one sensor.

6. A method according to claim 4, in which the classification operation for classifying the position of the occupant in the seat incorporates an occupancy reliability factor.

7. A method according to claim 4, including another classification operation for classifying the position of the occupant in the seat, during which account is taken both of information about the position of the occupant in the vehicle and also of information resulting from a statistical model.

8. A method according to claim 1, in which the correction operation compensates for the temperature drift on the basis of calculating one tracer per sensor.

9. A method according to claim 1, in which the correction operation detects a wet obstacle by implementing a detection plane method.

10. A method according to claim 1, in which, for each sensor, the correction operation compensates for temperature drift on the basis of calculating a local temperature and humidity tracer.

11. A method according to claim 1, in which, for each sensor, the correction operation compensates for temperature drift on the basis of using combinations of measurements that are insensitive to environmental conditions and that are output by the corresponding sensor.

12. A central processing unit programmed for implementing the method according to claim 1.

13. A system for processing measurement signals, for characterizing the state of occupancy of a motor vehicle seat, said system comprising a central processing unit according to claim 12, and a detection array integrated in the seat and itself comprising at least one sensor.

14. A motor vehicle seat including a central processing unit according to claim 12.