Systems and methods for reconstruction of a vehicular crash

US12246708B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12246708-B2
Application numberUS-202318309219-A
CountryUS
Kind codeB2
Filing dateApr 28, 2023
Priority dateApr 27, 2016
Publication dateMar 11, 2025
Grant dateMar 11, 2025

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

First claim

Opening claim text (preview).

We claim: 1. An accident monitoring computing device comprising at least one processor in communication with at least one memory device, the at least one processor is configured to: receive, from at least one computer device, sensor data representing a vehicular crash involving a vehicle having at least one occupant, wherein the at least one computer device includes at least one of (i) a mobile device associated with the at least one occupant configured to capture the sensor data representing the vehicular crash, or (ii) a vehicle controller associated with the vehicle and in communication with a plurality of sensors; generate a scenario model representing the vehicular crash by comparing the received sensor data to a plurality of vehicular crash scenarios; and based upon at least some of the received sensor data and the scenario model, determine an amount of damage resulting from the vehicular crash, and predict at least one injury suffered by the at least one occupant of the vehicle. 2. The accident monitoring computing device of claim 1 , wherein the amount of damage resulting from the vehicular crash includes at least one of an amount of damage to the vehicle resulting from the vehicular crash or an amount of damage to another object involved in the vehicular crash. 3. The accident monitoring computing device of claim 2 , wherein the other object is at least one of a pedestrian, another vehicle, and a stationary object. 4. The accident monitoring computing device of claim 1 , wherein the sensor data includes a number of occupants of the vehicle when the vehicular crash occurred and a location of the at least one occupant within the vehicle. 5. The accident monitoring computing device of claim 1 , wherein the at least one processor is further configured to: determine a geographic location of the vehicular crash when the vehicular crash occurred; in response to determining the at least one injury suffered by the at least one occupant, select one or more emergency services for responding to the vehicular crash using the generated scenario model and the determined geographic location; and transmit a message to the selected one of one or more emergency services requesting response to the vehicular crash. 6. The accident monitoring computing device of claim 5 , wherein the at least one processor is further configured to generate the message, the message including (i) the at least one injury suffered by the at least one occupant, (ii) the geographic location of the vehicle when the vehicular crash occurred, and (iii) the amount of damage resulting from the vehicular crash. 7. A computer-based method for identifying potential injuries of at least one occupant of a vehicle involved in a vehicular crash, the method implemented on an accident monitoring (“AM”) server including at least one processor in communication with at least one memory device, the method comprising: receiving, from at least one computer device, sensor data representing a vehicular crash involving a vehicle having at least one occupant, wherein the at least one computer device includes at least one of (i) a mobile device associated with the at least one occupant configured to capture the sensor data representing the vehicular crash, or (ii) a vehicle controller associated with the vehicle and in communication with a plurality of sensors; generating a scenario model representing the vehicular crash by comparing the received sensor data to a plurality of vehicular crash scenarios; and based upon at least some of the received sensor data and the scenario model, determining an amount of damage resulting from the vehicular crash, and predict at least one injury suffered by the at least one occupant of the vehicle. 8. The computer-based method of claim 7 , wherein the amount of damage resulting from the vehicular crash includes at least one of an amount of damage to the vehicle resulting from the vehicular crash or an amount of damage to another object involved in the vehicular crash. 9. The computer-based method of claim 7 , wherein the other object is at least one of a pedestrian, another vehicle, and a stationary object. 10. The computer-based method of claim 7 , wherein the sensor data includes a number of occupants of the vehicle when the vehicular crash occurred and a location of the at least one occupant within the vehicle. 11. The computer-based method of claim 7 further comprising: determining a geographic location of the vehicular crash when the vehicular crash occurred; in response to determining the at least one injury suffered by the at least one occupant, selecting one or more emergency services for responding to the vehicular crash using the generated scenario model and the determined geographic location; and transmit a message to the selected one of one or more emergency services requesting response to the vehicular crash. 12. The computer-based method of claim 11 further comprising generating the message, the message including (i) the at least one injury suffered by the at least one occupant, (ii) the geographic location of the vehicle when the vehicular crash occurred, and (iii) the amount of damage resulting from the vehicular crash. 13. At least one non-transitory computer-readable storage medium having computer-executable instructions embodied thereon, wherein when executed by at least one processor in communication with at least one memory, the computer-executable instructions cause the at least one processor to: receive, from at least one computer device, sensor data representing a vehicular crash involving a vehicle having at least one occupant, wherein the at least one computer device includes at least one of (i) a mobile device associated with the at least one occupant configured to capture the sensor data representing the vehicular crash, or (ii) a vehicle controller associated with the vehicle and in communication with a plurality of sensors; generate a scenario model representing the vehicular crash by comparing the received sensor data to a plurality of vehicular crash scenarios; and based upon at least some of the received sensor data and the scenario model, determine an amount of damage resulting from the vehicular crash, and predict at least one injury suffered by the at least one occupant of the vehicle. 14. The computer-readable storage medium of claim 13 , wherein the amount of damage resulting from the vehicular crash includes at least one of an amount of damage to the vehicle resulting from the vehicular crash or an amount of damage to another object involved in the vehicular crash. 15. The computer-readable storage medium of claim 14 , wherein the other object is at least one of a pedestrian, another vehicle, and a stationary object. 16. The computer-readable storage medium of claim 13 , wherein the sensor data includes a number of occupants of the vehicle when the vehicular crash occurred and a location of the at least one occupant within the vehicle. 17. The computer-readable storage medium of claim 13 , wherein the computer-executable instructions further cause the at least one processor to: determine a geographic location of the vehicular crash when the vehicular crash occurred; in response to determining the at least one injury suffered by the at least one occupant, select one or more emergency services for responding to the vehicular crash using the generated scenario model and the determined geographic location; and transmit a message to the selected one of one or more emergency services requesting response to the vehicular crash.

Assignees

Inventors

Classifications

  • Anti-collision systems (road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08) · CPC title

  • Incapacity · CPC title

  • Input parameters relating to overall vehicle dynamics · CPC title

  • Means for informing the driver, warning the driver or prompting a driver intervention · CPC title

  • Details of control systems ensuring comfort, safety or stability not otherwise provided for · CPC title

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What does patent US12246708B2 cover?
A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a resul…
Who is the assignee on this patent?
State Farm Mutual Automobile Insurance Co, State Farm Mutual Automobile Insurance Company Inc
What technology area does this patent fall under?
Primary CPC classification G08B25/006. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 11 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).