Method and system for identifying vehicle collisions using sensor data
First Claim
1. A server device for automatically identifying vehicle collisions using sensor data, the server device comprising:
- one or more processors; and
a non-transitory computer-readable memory coupled to the one or more processors, and the one or more sensors, and storing thereon instructions that, when executed by the one or more processors, cause the server device to;
obtain a set of training data including a plurality of sets of sensor data from portable computing devices collected during vehicle trips, the plurality of sets of sensor data including a first subset of sensor data corresponding to vehicle trips involved in vehicle collisions and a second subset of sensor data corresponding to vehicle trips not involved in vehicle collisions, each set of sensor data including at least one of;
position data, speed data, acceleration data, rotation data, pressure data, or sound data, the second subset of sensor data including sensor data indicative of at least one of the portable computing devices being manipulated by a user to change an orientation of the at least one portable computing device;
generate, using the training data, a statistical model for identifying whether a portable computing device is in a vehicle involved in a vehicle collision based on sensor data from the portable computing device, wherein the statistical model is adjusted in accordance with the sensor data indicative of the at least one portable computing device being manipulated by the user;
obtain a current set of sensor data from a portable computing device;
compare the current set of sensor data from the portable computing device to the statistical model to determine whether the portable computing device is in a vehicle involved in a vehicle collision; and
determine that a vehicle collision has occurred involving the vehicle including the portable computing device based on the comparison.
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Accused Products
Abstract
A method and system may identify vehicle collisions in real-time or at least near real-time based on statistical data collected from previous vehicle collisions. The statistical data may be used to train a machine learning model for identifying whether a portable computing device is in a vehicle collision based on sensor data from the portable computing device. The machine learning model may be trained based on a first subset of sensor data collected from vehicle trips involved in vehicle collisions and a second subset of sensor data collected from vehicle trips not involved in vehicle collisions. When a current set of sensor data is obtained from a portable computing device in a vehicle, the current set of sensor data is compared to the machine learning model to determine whether the portable computing device is in a vehicle involved in a vehicle collision.
63 Citations
18 Claims
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1. A server device for automatically identifying vehicle collisions using sensor data, the server device comprising:
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one or more processors; and a non-transitory computer-readable memory coupled to the one or more processors, and the one or more sensors, and storing thereon instructions that, when executed by the one or more processors, cause the server device to; obtain a set of training data including a plurality of sets of sensor data from portable computing devices collected during vehicle trips, the plurality of sets of sensor data including a first subset of sensor data corresponding to vehicle trips involved in vehicle collisions and a second subset of sensor data corresponding to vehicle trips not involved in vehicle collisions, each set of sensor data including at least one of;
position data, speed data, acceleration data, rotation data, pressure data, or sound data, the second subset of sensor data including sensor data indicative of at least one of the portable computing devices being manipulated by a user to change an orientation of the at least one portable computing device;generate, using the training data, a statistical model for identifying whether a portable computing device is in a vehicle involved in a vehicle collision based on sensor data from the portable computing device, wherein the statistical model is adjusted in accordance with the sensor data indicative of the at least one portable computing device being manipulated by the user; obtain a current set of sensor data from a portable computing device; compare the current set of sensor data from the portable computing device to the statistical model to determine whether the portable computing device is in a vehicle involved in a vehicle collision; and determine that a vehicle collision has occurred involving the vehicle including the portable computing device based on the comparison. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer-implemented method for automatically identifying vehicle collisions using sensor data, the method executed by one or more processors programmed to perform the method, the method comprising:
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obtaining, by one or more processors, a set of training data including a plurality of sets of sensor data from portable computing devices collected during vehicle trips, the plurality of sets of sensor data including a first subset of sensor data corresponding to vehicle trips involved in vehicle collisions and a second subset of sensor data corresponding to vehicle trips not involved in vehicle collisions, each set of sensor data including at least one of;
position data, speed data, acceleration data, rotation data, pressure data, or sound data, the second subset of sensor data including sensor data indicative of at least one of the portable computing devices being manipulated by a user to change an orientation of the at least one portable computing device;generating, by the one or more processors using the training data, a statistical model for identifying whether a portable computing device is in a vehicle involved in a vehicle collision based on sensor data from the portable computing device, wherein the statistical model is adjusted in accordance with the sensor data indicative of the at least one portable computing device being manipulated by the user; obtaining, by the one or more processors, a current set of sensor data from a portable computing device; comparing, by the one or more processors, the current set of sensor data from the portable computing device to the statistical model to determine whether the portable computing device is in a vehicle involved in a vehicle collision; and determining, by the one or more processors, that a vehicle collision has occurred involving the vehicle including the portable computing device based on the comparison. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification