Method and apparatus for distinguishing between deployment events and non-deployment events in an SIR system
AssigneeDelco Electronics Corporation
InventorsDavid D. Lynch, James F. Long, Rex P. Brumbach, Jr., Porfirio Garcia, Jr., Stephen J. Kiselewich, Douglas D. Turner
Life of this patent
Estimating the term…
Abstract
A pattern recognition system is utilized in a supplementary inflatable restraint (SIR) system to distinguish between deployment and non-deployment events. The pattern recognition system preferably includes dedicated hardware or a microprocessor programmed to perform a neural network simulation utilizing crash data in the form of vehicle acceleration data. Training and trial vectors are generated from the data to train and, subsequently, test the neural network.
Claims20
A method for distinguishing between deployment and non-deployment events from crash signals containing crash data in an SIR system for a motor vehicle, the method comprising the steps of:
- generating pairs of training vectors from the crash data, each pair of training vectors including a vector having input values and a vector having a known output value associated with either a deployment event or a non-deployment event;
- inputting the pairs of training vectors to a trainable pattern recognition system;
- recursively adjusting the pattern recognition system to converge to a configuration of the pattern recognition system to obtain a trained pattern recognition system for matching an input vector with either a deployment event or a non-deployment event;
- generating at least one trial input vector from the crash data, the at least one trial input vector corresponding to either a deployment event or a non-deployment event;
- and
- inputting the at least one trial input vector to the trained pattern recognition system to generate an output signal representation of one of the events corresponding to the input vector.
Apparatus for distinguishing between deployment and non-deployment events from crash data in an SIR system for a motor vehicle, the apparatus comprising:
- means for generating pairs of training vectors from the crash data, each pair of training vectors including a vector having input values and a vector having a known output value associated with either a deployment event or a non-deployment event;
- and
- a pattern recognition system for receiving the pairs of training vectors and for recursively adjusting to a configuration of the pattern recognition system to obtain a trained pattern recognition system for matching an input vector with either a deployment event or a non-deployment event;
- the generating means also generating at least one trial input vector from the crash data, the at least one trial input vector corresponding to either a deployment event or a non-deployment event;
- the at least one trial input vector being received by the trained pattern recognition system to generate an output signal representation of one of the events corresponding to the input vector.
Dependencies are inferred from the claim text.