Using data collected by a personal electronic device to identify a vehicle

• US 10,427,628 B2
• Filed: 12/13/2018
• Issued: 10/01/2019
• Est. Priority Date: 05/02/2017
• Status: Active Grant

• Current Assignee: Agero Incorporated (The Cross Country Group LLC)
• Original Assignee: Agero Incorporated (The Cross Country Group LLC)
• Inventors: Bell, Michael
• Primary Examiner(s): King, Curtis J
• Application Number:
  US16/219,850
• Publication Number:
  US 20190111864A1
• Time in Patent Office: 292 Days
• Field of Search: None
• CPC Class Codes: B60R 16/023 for transmission of signals between vehicle parts or subsystems

Abstract

Apparatus and methods are disclosed for identifying a vehicle using data collected by a personal electronic device residing in the vehicle during its operation. By enabling the vehicle to be identified using data collected by the personal electronic device, embodiments of the invention may allow other information captured by the personal electronic device relating to the user'"'"'s operation of the vehicle to be associated with the vehicle.

Claims

1. A method, comprising acts of:

(A) receiving acceleration data captured by a personal electronic device residing within an automobile during operation of the automobile;

(B) receiving geolocation data of the personal electronic device residing within the automobile during the operation of the automobile; and

(C) determining at least one of a year, make, model, class and type of the automobile based at least in part on the data received in the acts (A) and (B).

2. The method of claim 1, wherein the data received in the act (A) indicates acceleration of the personal electronic device in x-, y- and z-directions over time.

3. The method of claim 1, wherein the data received in the act (A) indicates an orientation of the personal electronic device at one or more points in time.

4. The method of claim 1, wherein the method comprises, prior to the act (A), an act of training at least one model to determine the at least one of the year, make, model, class and type of the automobile using other data captured by at least one personal electronic device residing within at least one vehicle during operation of the at least one vehicle, and wherein the act (C) comprises applying the at least one model to the data received in the acts (A) and (B) in making the determination in the act (C).

5. The method of claim 4, wherein:

the other data indicates acceleration of the personal electronic device in the time domain; and

the act performed prior to the act (A) comprises computing, from the data indicating acceleration of the personal electronic device in the time domain, one or more power spectra in the frequency domain, and training the at least one model using the one or more power spectra in the frequency domain.

6. The method of claim 1, wherein the method comprises employing the determination in the act (C) to provide automobile-specific information to a user associated with the personal electronic device or to an individual other than user.

7. The method of claim 1, wherein the method comprises receiving other information captured by the personal electronic device relating to operation of the automobile.

8. The method of claim 7, wherein the other information relates to behavior of a user associated with the personal electronic device during operation of the automobile.

9. The method of claim 1, wherein the act (C) is performed by the personal electronic device.

10. The method of claim 1, wherein the acts (A) and (B) are performed by a server in networked communication with the personal electronic device.

11. The method of claim 1, wherein the act (B) comprises receiving data of a global positioning system component of the personal electronic device.

12. At least one computer-readable storage medium having instructions recorded thereon which, when executed by a computer, cause the computer to perform a method comprising acts of:

(A) receiving acceleration data captured by a personal electronic device residing within an automobile during operation of the automobile;

(B) receiving geolocation data of the personal electronic device residing within the automobile during the operation of the automobile; and

(C) determining at least one of a year, make, model, class and type of the automobile based at least in part on the data received in the acts (A) and (B).

13. A computing system, comprising:

at least one computer-readable storage device, storing instructions; and

at least one computer processor, programmed via the instructions to;

receive acceleration data captured by a personal electronic device residing within an automobile during operation of the automobile;

receive geolocation data of the personal electronic device residing within the automobile during the operation of the automobile; and

determine at least one of a year, make, model, class and type of the automobile based at least in part on the received acceleration data and geolocation data.

14. The computing system of claim 13, wherein the received acceleration data indicates acceleration of the personal electronic device in x-, y- and z-directions over time.

15. The computing system of claim 13, wherein the received acceleration data indicates an orientation of the personal electronic device at one or more points in time.

16. The computing system of claim 13, wherein the at least one computer processor is programmed to, prior to receiving the acceleration data, train at least one model to determine the at least one of the year, make, model, class and type of the automobile using other data captured by at least one personal electronic device residing within at least one vehicle during operation of the at least one vehicle, and to apply the at least one model to the received acceleration data and geolocation data in making the determination.

17. The computing system of claim 16, wherein the other data indicates acceleration of the personal electronic device in the time domain, and wherein the at least one computer processor is programmed to, prior to receiving the acceleration data, compute, from the data indicating acceleration of the personal electronic device in the time domain, one or more power spectra in the frequency domain, and train the at least one model using the one or more power spectra in the frequency domain.

18. The computing system of claim 13, wherein the at least one computer processor is programmed to employ the determination in providing automobile-specific information to a user.

19. The computing system of claim 18, wherein the user is associated with the personal electronic device.

20. The computing system of claim 13, wherein the at least one computer processor is programmed to receive other information captured by the personal electronic device relating to operation of the automobile.

21. The computing system of claim 20, wherein the other information relates to behavior of a user associated with the personal electronic device during operation of the automobile.

22. The computing system of claim 13, wherein the at least one computer processor resides within the personal electronic device.