Vehicle occupant weight classification system

• US 6,823,959 B2
• Filed: 12/17/2002
• Issued: 11/30/2004
• Est. Priority Date: 07/12/2000
• Status: Expired due to Fees

• Current Assignee: Continental Automotive GmbH (Continental AG)
• Original Assignee: Siemens AG
• Inventors: Winkler, Gerd, Schicker, Gerald, Knueppel, Andreas
• Primary Examiner(s): English, Peter C.
• Application Number:
  US10/321,997
• Publication Number:
  US 20030085557A1
• Time in Patent Office: 714 Days
• Field of Search: 280/735, 180/273, 180/271, 701/45, 340/436, 340/438, 340/667, 702/101, 702/173, 702/94, 702/150, 73/11.3
• US Class Current: 180/271
• 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
• CPC Class Codes: Y10T 74/18088 Rack and pinion type
• CPC Class Codes: Y10T 74/1967 Rack and pinion

Abstract

A vehicle occupant classification system categorizes vehicle occupants into various classes such as adult, child, infant, etc. to provide variable control for a vehicle restraint system such as an airbag. The classification system utilizes sensors that are installed in various locations in the vehicle. The sensors are used to generate a three-dimensional profile for the vehicle occupant. Various factors can affect the accuracy of this three-dimensional profile. Fuzzy logic is used to reduce some of the inaccuracies by providing multiple decision levels for various stages of the classification. Inaccuracies are also caused by sensors shifting within the system from their original position. This condition creates offset and the system evaluates this offset and generates a correction factor to provide a more accurate three-dimensional profile. Electrically erasable programmable read-only memory is used to reduce complications and inaccuracies associated with seat occupant weight sensors that have mounting configurations that vary depending upon the vehicle.

Claims

1. A method for determining vehicle occupant characteristics to classify vehicles occupants comprising the steps of:

(a) establishing a first position for an occupant sensor wherein the first position defines an initial occupant sensor position;

(b) recognizing a second position that is different than the first position wherein the second position defines a shifted occupant sensor position different than the initial occupant sensor position;

(c) using an information factor to determine a different than the first and second position wherein the difference is further defined as an offset; and

(d) generating a correction factor to correct for the difference.

2. The method according to claim 1 including the step of installing a plurality of occupant sensors within a vehicle to define the initial occupant sensor position and wherein the shifted occupant sensor position is further defined by movement of at least one of the occupant sensors from an initial installed position to a shifted position over time.