Method of Programming a Neural Network Computer
First Claim
1. A method of programming a target neural network computer for use in cognitive computing systems in automotive safety applications, the method comprising:
- integrating a plurality of observer neural network computers into active safety systems of a plurality of vehicles, each observer neural network integrated into one of the plurality of vehicles, the observer neural network computers integrated to observe signals;
arranging each observer neural network computer to observe signals from a forward facing camera of its respective vehicle;
arranging each observer neural network computer to observe signals from one or more driver action monitoring devices of its respective vehicle;
arranging each observer neural network computer to process the observed signals from the forward facing camera of its respective vehicle and to correlate them with the observed signals from the one or more driver action monitoring devices of its respective vehicle;
combining correlated signals from the plurality of observer neural network computers; and
programming the target neural network computer for use in cognitive computing systems in automotive safety applications based on the combined correlated signals.
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Abstract
A method is disclosed for programming a target neural network computer for use in cognitive computing systems in automotive safety applications. An observer neural network computer is integrated into active safety systems of a plurality of vehicles to observe signals. Each respective observer neural network computer is arranged to observe signals from a forward facing camera and signals from a driver action monitor of its respective vehicle, to process the observed signals from the forward facing camera of its respective vehicle and correlate them with the observed signals from the driver action monitor of its respective vehicle. The correlated signals from the plurality of observer neural network computers are combined, and the target neural network computer is programmed for use in cognitive computing systems in automotive safety applications based on said combined correlated signals.
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Citations
20 Claims
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1. A method of programming a target neural network computer for use in cognitive computing systems in automotive safety applications, the method comprising:
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integrating a plurality of observer neural network computers into active safety systems of a plurality of vehicles, each observer neural network integrated into one of the plurality of vehicles, the observer neural network computers integrated to observe signals; arranging each observer neural network computer to observe signals from a forward facing camera of its respective vehicle; arranging each observer neural network computer to observe signals from one or more driver action monitoring devices of its respective vehicle; arranging each observer neural network computer to process the observed signals from the forward facing camera of its respective vehicle and to correlate them with the observed signals from the one or more driver action monitoring devices of its respective vehicle; combining correlated signals from the plurality of observer neural network computers; and programming the target neural network computer for use in cognitive computing systems in automotive safety applications based on the combined correlated signals. - View Dependent Claims (2, 3, 4, 5, 6, 7, 15, 17)
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8. A method for use in programming a target neural network computer for a cognitive computing system in an automotive safety application, the method comprising:
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integrating a plurality of observer neural network computers into active safety systems of a plurality of vehicles, each observer neural network integrated into one of the plurality of vehicles; arranging each observer neural network computer to observe signals from a forward facing camera of its respective vehicle; arranging each observer neural network computer to observe signals from one or more driver action monitoring devices of its respective vehicle; arranging each observer neural network computer to process the observed signals from the forward facing camera of its respective vehicle and to correlate them with the observed signals from the one or more driver action monitoring devices of its respective vehicle; and combining correlated signals from the plurality of observer neural network computers, the correlated signals for use in programming the target neural network computer. - View Dependent Claims (9, 10, 11, 12, 13, 14, 16, 18)
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19. A method of programming a target neural network computer for use in cognitive computing systems in automotive safety applications, the method comprising:
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combining correlated signals from a plurality of observer neural network computers, the plurality of observer neural network computers integrated in active safety systems of a plurality of vehicles, each observer neural network integrated in one of the plurality of vehicles, each observer neural network computer arranged to observe signals from a forward facing camera of its respective vehicle and to observe signals from one or more driver action monitoring devices of its respective vehicle, each observer neural network computer arranged to process the observed signals from the forward facing camera of its respective vehicle and to correlate them with the observed signals from the one or more driver action monitoring devices of its respective vehicle; and programming the target neural network computer for use in cognitive computing systems in automotive safety applications based on the combined correlated signals. - View Dependent Claims (20)
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Specification