Hardware independent mapping of multiple sensor configurations for classification of persons

• US 6,675,080 B2
• Filed: 12/13/2002
• Issued: 01/06/2004
• Est. Priority Date: 07/12/2000
• Status: Expired due to Fees

• Current Assignee: Continental Automotive GmbH (Continental AG)
• Original Assignee: Siemens AG
• Inventors: Winkler, Gard
• Primary Examiner(s): Cuchlinski, Jr., William A.
• Assistant Examiner(s): Hernandez, Olga
• Application Number:
  US10/318,925
• Publication Number:
  US 20030105571A1
• Time in Patent Office: 389 Days
• Field of Search: 701/45, 701/36, 280/735, 280/734, 280/730.1, 280/732, 280/731, 280/728.1, 280/739, 280/736, 180/273, 180/268, 180/282
• US Class Current: 701/45
• CPC Class Codes: B60R 21/01516 using force or pressure sensing means
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Abstract

Sensors are mounted within a seat structure for measuring seat occupant weight. The sensors can be mounted in any one of various sensor configurations. So that common hardware can be used for each different sensor configuration, a virtual matrix is created and output from the sensors is mapped into the virtual matrix. The virtual matrix includes virtual cell locations that do not have a corresponding sensor output; i.e., there are fewer physical cells (sensors) than virtual cell locations in the virtual matrix. A weight output signal from each sensor is mapped into the corresponding position in the virtual matrix and the remaining virtual cell locations have values assigned to them based on data supplied by the surrounding physical cells. Seat occupant weight is determined based on output from the virtual matrix and the occupant is placed into one of the various occupant classifications. Deployment force of a restraint system is controlled based on the classification of the seat occupant.

Claims

1. A method for measuring weight supported by a vehicle seat comprising the steps of:

(a) positioning each of a plurality of sensors at a discrete seat sensor location;

(b) generating a weight signal from each sensor in response to a weight force applied to the seat structure;

(c) creating at least one virtual sensor cell that is representative of a virtual seat sensor position that is different than each of the discrete seat sensor locations; and

(d) assigning a weight value to the virtual sensor cell based on weight signal data from discrete seat sensor locations that generally surround the virtual sensor cell.

2. A method according to claim 1 including the step of (e) determining weight on the seat structure based on a combination of the weight signals and weight value of the virtual sensor cell.

3. A method according to claim 1 wherein at least one virtual sensor cell comprises a plurality of virtual sensor cells and step (c) includes assigning each virtual sensor cell to a discrete virtual seat sensor position that is different than each of the discrete seat sensor locations.

4. A method according to claim 3 wherein step (d) includes assigning a weight value to each virtual sensor cell based on weight signal data from discrete seat sensor locations that generally surround the discrete virtual seat sensor position of the respective virtual sensor cell.

5. A method according to claim 1 wherein the virtual seat sensor position corresponds to a seat location [in which it is not possible to] incapable of supporting a mount for a sensor.

6. A method according to claim 1 wherein step (a) includes mounting the sensors in a predetermined sensor configuration.

7. A method according to claim 6 including the step of mapping each of the weight signals into a virtual matrix defining a theoretical sensor configuration, and determining weight on the seat structure based on output from the virtual matrix.

8. A method according to claim 7 wherein the theoretical sensor configuration comprises a plurality of theoretical sensor positions that does not include the virtual seat sensor position of the visual sensor cell.

9. A method according to claim 8 wherein step (c) includes mapping each one of the weight signals into a theoretical sensor position that corresponds generally to a location of the discrete sensor location from which the weight signal is generated.

10. A method according to claim 9 wherein the virtual matrix includes a greater number of theoretical sensor positions than discrete sensor locations and step (c) includes determining which theoretical sensor positions do not have corresponding mapped weight signals and assigning a value for each of the remaining theoretical sensor positions based on weight signal data from discrete sensor locations surrounding each of the remaining theoretical sensor positions.

11. A method according to claim 10 including the step of determining weight on the seat structure based on a combination of the weight value of the virtual sensor cell and the virtual matrix.

12. A method according to claim 7 wherein the theoretical sensor configuration comprises a plurality of theoretical sensor positions one of which corresponds to each of the virtual seat sensor positions of the virtual sensor cells.

13. A method according to claim 12 wherein step (c) includes mapping each one of the weight signals into a theoretical sensor position that corresponds generally to a location of the discrete sensor location from which the weight signal is generated and mapping the weight value of each virtual sensor cell into a corresponding theoretical sensor position in the virtual matrix.

14. A method according to claim 13 wherein the virtual matrix includes a greater number of theoretical sensor positions than discrete sensor locations and virtual seat sensor positions for the virtual sensor cells combined, and step (c) includes determining which theoretical sensor positions do not have corresponding mapped weight signals and assigning a value for each of the remaining theoretical sensor positions based on weight signal data from discrete sensor locations and/or weight values from the virtual sensor cells surrounding each of the remaining theoretical sensor positions.

15. A method according to claim 14 including the step of determining weight on the sear structure based on a combined output from each of the theoretical sensor positions of the virtual matrix.

16. A system for measuring weight supported by a vehicle seat comprising:

a plurality of sensors supported by a seat structure with each sensor being positioned at a discrete seat sensor location wherein each sensor generates a weight signal in response to a weight force applied to said seat structure; and

a control unit in communication with said sensors wherein said control unit creates at least one virtual sensor cell that is representative of a virtual seat sensor position that is different than each of said discrete seat sensor locations and assigns a weight value to said virtual sensor cell based on weight signal data from discrete seat sensor locations that generally surround said virtual sensor cell.

17. A system according to claim 16 wherein said control unit determines weight on the seat structure based on a combination of said weight signals and said weight value of said virtual sensor cell.

18. A system according to claim 16 wherein said at least one virtual sensor cell comprises a plurality of virtual sensor cells and wherein said control unit assigns each virtual sensor cell to a discrete virtual seat sensor position that is different than each of said discrete seat sensor locations.

19. A system according to claim 18 wherein said control unit assigns a weight value to each of said virtual sensor cells based on weight signal data from discrete seat sensor locations that generally surround said discrete virtual seat sensor position of said respective virtual sensor cell.

20. A system according to claim 16 wherein said control unit generates a virtual matrix defining a theoretical sensor configuration, maps each of said weight signals into said virtual matrix, and determines weight on the seat structure based on output from said virtual matrix.

21. A system according to claim 20 wherein said theoretical sensor configuration comprises a plurality of theoretical sensor positions that does not include said virtual seat sensor positions of said virtual sensor cells.

22. A system according to claim 21 wherein said control unit maps each one of said weight signals into a theoretical sensor position that corresponds generally to a location of said discrete sensor location from which said respective weight signal is generated and determines weight on said seat structure based on a combination of said weight values of said virtual sensor cells and combined output from each of said theoretical sensor positions of said virtual matrix.

23. A system according to claim 22 wherein said virtual matrix includes a greater number of theoretical sensor positions than discrete sensor locations and wherein said control unit determines which theoretical sensor positions do not have corresponding mapped weight signals and assigns a value for each of the remaining theoretical sensor positions based on weight signal data from discrete sensor locations surrounding each of the remaining theoretical sensor positions.

24. A system according to claim 20 wherein said theoretical sensor configuration comprises a plurality of theoretical sensor positions one of which corresponds to each of said virtual seat sensor positions of said virtual sensor cells.

25. A system according to claim 24 wherein said control unit maps each one of said weight signals into a theoretical sensor position that corresponds generally to a location of said discrete sensor location from which said respective weight signal is generated, maps said weight values of each of said virtual sensor cells into a corresponding theoretical sensor position in said virtual matrix, and determines weight on said seat structure based on combined output from each of said theoretical sensor positions of said virtual matrix.

26. A system according to claim 25 wherein said virtual matrix includes a greater number of theoretical sensor positions than discrete sensor locations and virtual seat sensor positions for said virtual sensor cells combined and wherein said control unit determines which theoretical sensor positions do not have corresponding mapped weight signals and assigns a value for each of the remaining theoretical sensor positions based on weight signal data from discrete sensor locations and/or weight values from said virtual sensor cells surrounding each of the remaining theoretical sensor positions.