Methods for controlling a system in a vehicle using a transmitting/receiving transducer and/or while compensating for thermal gradients
First Claim
1. A method for generating a neural network for determining the position of an object in a vehicle, comprising the steps of:
- conducting a plurality of data generation steps, each of said data generating steps comprising the steps of placing an object in the passenger compartment of the vehicle, directing waves into at least a portion of the passenger compartment in which the object is situated, receiving reflected waves from the object at a receiver, forming a data set of a signal representative of the reflected waves from the object, the distance from the object to the receiver and the temperature of the passenger compartment between the object and the receiver, changing the temperature of the air between the object and the receiver, and performing the wave-directing step, wave-receiving step and data set forming step for the object at different temperatures between the object and the receiver; and
generating a pattern recognition algorithm from the data sets such that upon operational input of a signal representative of reflected waves from the object, the algorithm provides an approximation of the distance from the object to the receiver.
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Accused Products
Abstract
Methods for controlling a vehicle system in which waves are directed from a transducer into the passenger compartment and is reflected off or modified by an object in the passenger compartment and received by the same or a different transducer. One or more techniques are used to compensate for thermal gradients in the passenger compartment and/or enable the use of a single transducer to send and receive waves, for example, a tubular mounting structure for the transducers, electronic reduction of ringing of the transducer, mechanical damping of the transducer cone, shaped horns, grills and reflectors for the output of the transducers to precisely control the beam pattern, a logarithmic compression amplifier, a temperature compensation method based on change in transducer properties with temperature and/or a dual level network, one level for categorization and the second for occupant position sensing.
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Citations
45 Claims
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1. A method for generating a neural network for determining the position of an object in a vehicle, comprising the steps of:
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conducting a plurality of data generation steps, each of said data generating steps comprising the steps of placing an object in the passenger compartment of the vehicle, directing waves into at least a portion of the passenger compartment in which the object is situated, receiving reflected waves from the object at a receiver, forming a data set of a signal representative of the reflected waves from the object, the distance from the object to the receiver and the temperature of the passenger compartment between the object and the receiver, changing the temperature of the air between the object and the receiver, and performing the wave-directing step, wave-receiving step and data set forming step for the object at different temperatures between the object and the receiver; and
generating a pattern recognition algorithm from the data sets such that upon operational input of a signal representative of reflected waves from the object, the algorithm provides an approximation of the distance from the object to the receiver. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for identifying an object in a passenger compartment of a vehicle, comprising the steps of:
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mounting a plurality of wave-emitting and receiving transducers on the vehicle, each transducer being arranged to transmit and receive waves at a different frequency, controlling the transducers to simultaneously transmit waves at the different frequencies into the passenger compartment, and identifying the object based on the waves received by at least some of the transducers after being modified by passing through the passenger compartment. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. In combination, a vehicle and an arrangement for identifying an object in a passenger compartment of the vehicle, the arrangement comprising:
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a plurality of wave-emitting and receiving transducers mounted on the vehicle, each transducer being arranged to transmit and receive waves at a different frequency, and a processor coupled to said transducers for controlling said transducers to simultaneously transmit waves at the different frequencies into the passenger compartment and receiving signals representative of the waves received by said transducers after being modified by passing through the passenger compartment, said processor being arranged to identify the object based on the signals representative of the waves received by at least some of said transducers. - View Dependent Claims (20, 21, 22, 23)
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24. A method for determining the position of an object in a passenger compartment of a vehicle, comprising the steps of:
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mounting a plurality of wave-emitting and receiving transducers on the vehicle, each transducer being arranged to transmit and receive waves at a different frequency, controlling the transducers to simultaneously transmit waves at the different frequencies into the passenger compartment, and determining the position of the object based on the waves received by the transducers after being modified by passing through the passenger compartment. - View Dependent Claims (25, 26, 27, 28, 29, 30)
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31. In combination, a vehicle and an arrangement for determining the position of an object in a passenger compartment of the vehicle, the arrangement comprising:
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a plurality of wave-emitting and receiving transducers mounted on the vehicle, each transducer being arranged to transmit and receive waves at a different frequency, and a processor coupled to said transducers for controlling said transducers to simultaneously transmit waves at the different frequencies into the passenger compartment and receiving signals representative of the waves received by said transducers after being modified by passing through the passenger compartment, said processor being arranged to determine the position of the object based on the signals representative of the waves received by at least some of the transducers. - View Dependent Claims (32, 33, 34)
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35. A method for controlling deployment of an occupant restraint device based on the position of an object in a passenger compartment of a vehicle, comprising the steps of:
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mounting a plurality of wave-emitting and receiving transducers on the vehicle, each transducer being arranged to transmit and receive waves at a different frequency, controlling the transducers to simultaneously transmit waves at the different frequencies into the passenger compartment, determining whether the object is of a type requiring deployment of the occupant restraint device in the event of a crash involving the vehicle based on the waves received by at least some of the transducers after being modified by passing through the passenger compartment, and if so, determining whether the position of the object relative to the occupant restraint device would cause injury to the object upon deployment of the occupant restraint device based on the waves received by at least some of the transducers. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42)
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43. A method for categorizing and determining the position of an object in a passenger compartment of a vehicle, comprising the steps of:
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mounting a plurality of wave-receiving transducers on the vehicle, training a first neural network on signals from at least some of the transducers representative of waves received by the transducers when different objects in different positions are situated in the passenger compartment such that the first neural network provides an output signal indicative of the categorization of the object, and training a second neural network on signals from at least some of said transducers representative of waves received by the transducers when different objects in different positions are situated in the passenger compartment such that the second neural network provides an output signal indicative of the position of the object. - View Dependent Claims (44, 45)
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Specification