Techniques for detecting and reporting a vehicle crash
First Claim
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1. A method for vehicle crash identification, the method comprising:
- using acoustic sensing associate with structural borne waves for acoustic calibration;
receiving a first set of data from a first set of sensors installed in a vehicle;
recording the first set of data;
receiving a second set of data from said vehicle built-in sensors;
determining a status of the vehicle using the first set of data and said second set of data associated with a previous status of the vehicle through the detection of acoustic waves transmitted through the body of the vehicle; and
transmitting a third set of data associated with the three-dimensional changes in the vehicle position to one or more devices associated with the vehicle;
whereindetermining said status of said vehicle occurs through classifying said first set of data into the categories of a crash or a non-crash via a feed forward neural network.
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Abstract
Techniques are described for automated vehicle crash detection and prevention. In one exemplary embodiment, information from one or more sensors, e.g., accelerometer and gyroscope, or from event data recorder (EDR) through OBD-II ECU, is received and recorded in a system. The system saves the received information in a memory for later use. The status of the vehicle may be sent to appropriate recipients. For example, a report of vehicle malfunction may be sent, e.g., through 2G/3G communication, to the driver'"'"'s mobile phone or a maintenance center, and a report of the accident may be sent to an emergency center, police and/or an insurance company.
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6 Claims
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1. A method for vehicle crash identification, the method comprising:
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using acoustic sensing associate with structural borne waves for acoustic calibration; receiving a first set of data from a first set of sensors installed in a vehicle; recording the first set of data; receiving a second set of data from said vehicle built-in sensors; determining a status of the vehicle using the first set of data and said second set of data associated with a previous status of the vehicle through the detection of acoustic waves transmitted through the body of the vehicle; and transmitting a third set of data associated with the three-dimensional changes in the vehicle position to one or more devices associated with the vehicle;
whereindetermining said status of said vehicle occurs through classifying said first set of data into the categories of a crash or a non-crash via a feed forward neural network. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification