Method for smartphone-based accident detection
First Claim
1. A method for detecting a vehicular accident event with a mobile computing device located within a vehicle, the method comprising:
- extracting a vehicle motion characteristic from at least one of a first location dataset and a first motion dataset collected at the mobile computing device during a first time period, wherein the vehicle motion characteristic describes the movement of the vehicle within a time window of the first time period;
comparing the vehicle motion characteristic to a motion characteristic threshold condition;
in response to the vehicle motion characteristic satisfying the motion characteristic threshold condition;
retrieving an accident detection model,receiving a second location dataset and a second motion dataset collected at the mobile computing device during a second time period;
detecting the vehicular accident event with the accident detection model and at least one of the second location dataset and the second motion dataset;
determining a vehicular accident type describing the vehicular accident event, based on at least one of the second location dataset and the second motion dataset, wherein the vehicular accident type comprises at least one of;
a single-vehicle collision, a multi-vehicle collision, and a pedestrian collision; and
in response to determining the vehicular accident type, automatically pre-filling, at the mobile computing device, an insurance claim with the vehicular accident type.
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Abstract
A method and system for detecting an accident of a vehicle, the method including: receiving a movement dataset collected at least at one of a location sensor and a motion sensor arranged within the vehicle, during a time period of movement of the vehicle, extracting a set of movement features associated with at least one of a position, a velocity, and an acceleration characterizing the movement of the vehicle during the time period, detecting a vehicular accident event from processing the set of movement features with an accident detection model, and in response to detecting the vehicular accident event, automatically initiating an accident response action.
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Citations
18 Claims
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1. A method for detecting a vehicular accident event with a mobile computing device located within a vehicle, the method comprising:
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extracting a vehicle motion characteristic from at least one of a first location dataset and a first motion dataset collected at the mobile computing device during a first time period, wherein the vehicle motion characteristic describes the movement of the vehicle within a time window of the first time period; comparing the vehicle motion characteristic to a motion characteristic threshold condition; in response to the vehicle motion characteristic satisfying the motion characteristic threshold condition; retrieving an accident detection model, receiving a second location dataset and a second motion dataset collected at the mobile computing device during a second time period; detecting the vehicular accident event with the accident detection model and at least one of the second location dataset and the second motion dataset; determining a vehicular accident type describing the vehicular accident event, based on at least one of the second location dataset and the second motion dataset, wherein the vehicular accident type comprises at least one of;
a single-vehicle collision, a multi-vehicle collision, and a pedestrian collision; andin response to determining the vehicular accident type, automatically pre-filling, at the mobile computing device, an insurance claim with the vehicular accident type. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for detecting a vehicular accident event with a mobile computing device located within a vehicle, the method comprising:
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extracting a vehicle motion characteristic from a sensor subsystem of the mobile computing device during a first time period of movement of the vehicle; in response to the vehicle motion characteristic satisfying a motion characteristic threshold condition; retrieving an accident detection model, receiving a motion dataset collected at the sensor subsystem of the mobile computing device during a second time period; detecting the vehicular accident event with the accident detection model and the motion dataset; determining a vehicular accident characteristic describing the vehicular accident event, based on the motion dataset; in response to determining the vehicular accident characteristic, automatically pre-filling, using the mobile computing device, an insurance claim with the vehicular accident characteristic; calculating an accident confidence metric indicating a degree of confidence in occurrence of the vehicular accident event, based on the motion dataset; and comparing the accident confidence metric to a confidence threshold condition, and transmitting the insurance claim to an entity if the confidence threshold condition is satisfied. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
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Specification