IP Library Granted Patent US 12,475,741
Granted Patent B2
US 12,475,741 · App. 17/461,050 · Granted Nov 18, 2025

Automatic crash detection

Inventors: Kyle Patrick Schmitt (Chicago, IL); Pratheek M. Harish (Ontario, CA); Venu Madhav Tammali (Chicago, IL); Larry Layne (Northbrook, IL); Dana Ferguson (Chicago, IL)
Assignee: Arity International Limited
G07C5/008G07C5/085
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Quick Facts
Patent No.
US 12,475,741
App. No.
17/461,050
Granted
Nov 18, 2025
Kind
B2
Abstract

Systems and methods are disclosed for determining whether or not a crash involving a vehicle has occurred. A computing device may receive acceleration measurement(s) measured by one or more accelerometers during a time window. The computing device may determine, for one or more acceleration measurements, a corresponding acceleration magnitude. Based on the corresponding acceleration magnitude(s), the computing device may identify, from the acceleration measurement(s), an acceleration measurement and/or may determine whether the acceleration magnitude exceeds a threshold acceleration magnitude. The computing device may corroborate whether a vehicle associated with the mobile computing device was involved in a crash. Data associated with the acceleration magnitude and/or an event, such as a crash event, may be transmitted to a server.

Claims (52)

1 . A mobile device comprising:

one or more memories having computer-readable instructions stored therein; and

one or more processors configured to execute the computer-readable instructions to:

determine information associated with a movement of a vehicle in a particular direction, wherein the vehicle is associated with the mobile device;

perform a first process using a first subset of the information obtained via a first sensor, and that is associated with the movement of the vehicle in the particular direction, to determine a first metric indicative of acceleration and of whether the vehicle was involved in a crash, wherein the first process comprises:

receiving acceleration measurement values within overlapping time windows; and

determining a crash indication when a number of acceleration measurement values within a window exceeds a threshold;

after determining the crash indication, perform a second process using a second subset of the information obtained via a second sensor, and that is associated with the movement of the vehicle in the particular direction, to determine a second metric indicative of acceleration and of whether the vehicle was involved in the crash;

determine a confidence value as a weighted sum of the first metric indicative of acceleration and the second metric indicative of acceleration; and

indicate, based on a comparison of the confidence value with a threshold value, whether the vehicle was involved in the crash.

2 . The mobile device of claim 1 , wherein the first subset of the information includes acceleration measurements associated with the movement of the vehicle.

3 . The mobile device of claim 1 , wherein the second subset of the information includes speed measurements of the vehicle.

4 . The mobile device of claim 3 , wherein the second process comprises:

determining, based on the speed measurements, whether a speed of the vehicle exceeds at least one threshold speed;

when the speed of the vehicle exceeds the at least one threshold speed, determining at least one magnitude of acceleration of the vehicle over a time window; and

verifying that the vehicle was involved in the crash based on a comparison of the at least one magnitude of acceleration to a threshold.

5 . The mobile device of claim 4 , wherein the second process further comprises:

determining at least one deceleration for the vehicle upon determining that the at least one magnitude of acceleration exceeds the threshold;

determining a distance the vehicle has moved based on the at least one magnitude of acceleration and the at least one deceleration; and

verifying that the vehicle was involved in the crash based on the distance.

6 . A method comprising:

determining information associated with a movement of a vehicle in a particular direction, wherein the vehicle is associated with a mobile device;

performing a first process using a first subset of the information obtained via a first sensor, and that is associated with the movement of the vehicle in the particular direction, to determine a first metric indicative of acceleration and of whether the vehicle was involved in a crash, wherein the first process comprises:

receiving acceleration measurement values within overlapping time windows; and

determining a crash indication when a number of acceleration measurement values within a window exceeds a threshold;

after determining the crash indication, performing a second process using a second subset of the information obtained via a second sensor, and that is associated with the movement of the vehicle in the particular direction, to determine a second metric indicative of acceleration and of whether the vehicle was involved in the crash;

determining a confidence value as a weighted sum of the first metric indicative of acceleration and the second metric indicative of acceleration; and

indicating, based on a comparison of the confidence value with a threshold value, whether the vehicle was involved in the crash.

7 . The method of claim 6 , wherein the first subset of the information includes acceleration measurements associated with the movement of the vehicle.

8 . The method of claim 6 , wherein the second subset of the information includes speed measurements of the vehicle.

9 . The method of claim 8 , wherein the second process comprises:

determining, based on the speed measurements, whether a speed of the vehicle exceeds at least one threshold speed;

when the speed of the vehicle exceeds the at least one threshold speed, determining at least one magnitude of acceleration of the vehicle over a time window; and

verifying that the vehicle was involved in the crash based on a comparison of the at least one magnitude of acceleration to a threshold.

10 . The method of claim 9 , wherein the second process further comprises:

determining at least one deceleration for the vehicle upon determining that the at least one magnitude of acceleration exceeds the threshold;

determining a distance the vehicle has moved based on the at least one magnitude of acceleration and the at least one deceleration; and

verifying that the vehicle was involved in the crash based on the distance.

11 . One or more non-transitory computer-readable media comprising computer-readable instructions, which when executed by one or more processors of a mobile device, cause the mobile device to:

determine information associated with a movement of a vehicle in a particular direction, wherein the vehicle is associated with the mobile device;

perform a first process using a first subset of the information obtained via a first sensor, and that is associated with the movement of the vehicle in the particular direction, to determine a first metric indicative of acceleration and of whether the vehicle was involved in a crash, wherein the first process comprises:

receiving acceleration measurement values within overlapping time windows; and

determining a crash indication when a number of acceleration measurement values within a window exceeds a threshold;

after determining the crash indication, perform a second process using a second subset of the information obtained via a second sensor, and that is associated with the movement of the vehicle in the particular direction, to determine a second metric indicative of acceleration and of whether the vehicle was involved in the crash;

determine a confidence value as a weighted sum of the first metric indicative of acceleration and the second metric indicative of acceleration; and

indicate, based on a comparison of the confidence value with a threshold value, whether the vehicle was involved in the crash.

12 . The one or more non-transitory computer-readable media of claim 11 , wherein the first subset of the information includes acceleration measurements associated with the movement of the vehicle.

13 . The one or more non-transitory computer-readable media of claim 11 , wherein the second subset of the information includes speed measurements of the vehicle.

14 . The one or more non-transitory computer-readable media of claim 13 , wherein the second process comprises:

determining, based on the speed measurements, whether a speed of the vehicle exceeds at least one threshold speed;

when the speed of the vehicle exceeds the at least one threshold speed, determining at least one magnitude of acceleration of the vehicle over a time window; and

verifying that the vehicle was involved in the crash based on a comparison of the at least one magnitude of acceleration to a threshold.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2025
From: SCHMITT, KYLE PATRICK; HARISH, PRATHEEK M.; TAMMALI, VENU MADHAV; LAYNE, LARRY; FERGUSON, DANA
To: ALLSTATE INSURANCE COMPANY
Reel/Frame 072240/0984 →
SUPPLEMENTAL MEMO TO PURCHASE AGREEMENT Recorded Sep 12, 2025
From: ALLSTATE INSURANCE COMPANY
To: ARITY INTERNATIONAL LIMITED
Reel/Frame 073653/0288 →
Continuity (7)
Continuation 16848196 · Apr 14, 2020
Continuation 16106380 · Aug 21, 2018
Continuation 15900958 · Feb 21, 2018
Continuation In Part 15880187 · Jan 25, 2018
Continuation 15665710 · Aug 1, 2017
Continuation 14685067 · Apr 13, 2015
Related Publication 20210390798A1 · Dec 16, 2021
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