System and method for detecting presence of a human in a vehicle
First Claim
1. A system for detecting the presence of a human in a vehicle, the system comprising:
- a vibration sensor configured to detect vibrations of the vehicle and to output signals related to the sensed vibrations;
a processor configured to receive the signals output from the vibration sensor; and
a neural network run by the processor and having plurality of nodes, at least one of the nodes being a recurrent node, thereby facilitating operation of the neural network using a time delay between an output from a recurrent node and an input, of the recurrent node output, into another of the nodes, and using a time delay between the recurrent node output and an input, of the recurrent node output, back into the recurrent node, the neural network being configured to provide at least one output value indicating that a human is present in the vehicle and at least one output value indicating that a human is not present in the vehicle.
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Accused Products
Abstract
A system for detecting the presence of a human in a vehicle is provided. The system includes a vibration sensor that is configured to detect vibrations of the vehicle, and to output signals related to the sensed vibrations. A processor is configured to receive the signals output from the vibration sensor. The processor also operates a neural network that has a plurality of nodes, at least some of which are recurrent. The use of the recurrent nodes allows the output of a recurrent node to be fed back into itself, or another node. In addition, the output that is fed back can be combined with other inputs entering the node. In this way, the neural network can quickly learn to distinguish between various conditions, including an occupied state and an unoccupied state of the vehicle. The neural network provides an output indicating whether the vehicle is occupied.
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Citations
22 Claims
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1. A system for detecting the presence of a human in a vehicle, the system comprising:
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a vibration sensor configured to detect vibrations of the vehicle and to output signals related to the sensed vibrations; a processor configured to receive the signals output from the vibration sensor; and a neural network run by the processor and having plurality of nodes, at least one of the nodes being a recurrent node, thereby facilitating operation of the neural network using a time delay between an output from a recurrent node and an input, of the recurrent node output, into another of the nodes, and using a time delay between the recurrent node output and an input, of the recurrent node output, back into the recurrent node, the neural network being configured to provide at least one output value indicating that a human is present in the vehicle and at least one output value indicating that a human is not present in the vehicle. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A vehicle including a system for detecting the presence of a human in the vehicle, the vehicle comprising:
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a vibration sensor disposed on a portion of the vehicle for detecting vibrations of the vehicle and for outputting signals related to the sensed vibrations; a processor configured to receive the signals output from the vibration sensor; and a neural network run by the processor and having plurality of nodes, at least one of the nodes being a recurrent node, thereby facilitating operation of the neural network using a time delay between an output from a recurrent node and an input, of the recurrent node output, into another of the nodes, and using a time delay between the recurrent node output and an input, of the recurrent node output, back into the recurrent node, the neural network being configured to provide at least one output value indicating that a human is present in the vehicle and at least one output value indicating that a human is not present in the vehicle. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A method for detecting the presence of a human in a vehicle, the method comprising:
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sensing vibrations in the vehicle; outputting signals related to the sensed vibrations; processing the signals using a neural network having a plurality of nodes, at least one of the nodes being a recurrent node, thereby facilitating operation of the neural network using a time delay between an output from a recurrent node and an input, of the recurrent node output, into another of the nodes, and using a time delay between the recurrent node output and an input, of the recurrent node output, back into the recurrent node; and outputting a signal from the neural network indicating whether a human is present in the vehicle. - View Dependent Claims (20, 21, 22)
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Specification