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Automotive occupancy sensor gray zone neural net conditioning process for airbag deployment systems

  • US 6,266,593 B1
  • Filed: 01/04/2000
  • Issued: 07/24/2001
  • Est. Priority Date: 10/23/1996
  • Status: Expired due to Term
First Claim
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1. A method of neural net conditioning in an airbag occupancy sensor system for a vehicle interior, said system having a plurality of sensors and at least one sensor signal processing algorithm including a neural net, comprising in any operative sequence the steps of:

  • a) establishing a keep out zone;

    b) establishing an occupant zone;

    c) defining between said keep out and occupancy zones an intermediate gray zone;

    d) determining which signals from said sensors are from objects in said gray zone;

    e) selecting at least a portion of said signals from objects in said gray zone; and

    f) discarding said selected signals when training said neural net to recognize during normal operation at least one of occupant nature, location, or combinations thereof.

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