System for automatically characterizing a vehicle

• US 9,779,562 B1
• Filed: 12/21/2015
• Issued: 10/03/2017
• Est. Priority Date: 12/21/2015
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Cook, Bryon, Quach, Quoc Chan
• Primary Examiner(s): Kiswanto, Nicholas
• Assistant Examiner(s): Taveras, Kenny A
• Application Number:
  US14/976,399
• Time in Patent Office: 652 Days
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

A system for automatic characterization of a vehicle includes an input interface and a processor. The input interface is for receiving sensor data. The processor is for determining a vehicle characterization based at least in part on the sensor data and determining a vehicle identifier based at least in part on the vehicle characterization.

Claims

1. A system for automatic characterization of a vehicle, comprising:

an input interface for receiving sensor data, wherein the sensor data includes inertial data; and

a processor for;

determining a vehicle characterization based at least in part on;

determining at least one engine characteristic including a vibration pattern based at least in part on the inertial data; and

determining a response to a road condition based at least in part on the inertial data; and

determining a vehicle identifier based at least in part on the vehicle characterization.

2. The system of claim 1, wherein the sensor data comprises image data.

3. The system of claim 1, wherein the sensor data comprises audio data.

4. The system of claim 1, wherein the sensor data comprises inertial data.

5. The system of claim 1, wherein the sensor data comprises GPS data.

6. The system of claim 1, wherein the sensor data comprises compliance data.

7. The system of claim 1, wherein the vehicle characterization comprises a physical profile.

8. The system of claim 7, wherein the physical profile comprises a hood profile, a seat profile, a headlight pattern, or a view behind a driver of the vehicle.

9. The system of claim 1, wherein the vehicle characterization comprises a mechanical profile.

10. The system of claim 9, wherein the mechanical profile comprises engine characteristics, a shock response, a turn response, or an acceleration response.

11. The system of claim 1, wherein the vehicle characterization comprises an audio profile.

12. The system of claim 11, wherein the audio profile comprises an idle sound, a high RPM sound, or a horn sound.

13. The system of claim 1, wherein the vehicle characterization comprises a usage profile.

14. The system of claim 13, wherein the usage profile comprises route data, a maintenance log, a usage log, or a driver log.

15. The system of claim 1, wherein the vehicle identifier is determined by training a machine learning engine with the vehicle characterization and the vehicle identifier.

16. The system of claim 1, wherein the processor is further for determining a maintenance item.

17. The system of claim 16, wherein determining a maintenance item comprises determining a vehicle characterization change over time.

18. The system of claim 17, wherein the maintenance item comprises a maintenance schedule.

19. A method for automatic characterization of a vehicle, comprising:

receiving sensor data, wherein the sensor data includes inertial data;

determining, using a processor, a vehicle characterization based at least in part on;

determining at least one engine characteristic including a vibration pattern based at least in part on the inertial data; and

determining a response to a road condition based at least in part on the inertial data; and

determining a vehicle identifier based at least in part on the vehicle characterization.

20. A computer program product embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

receiving sensor data, wherein the sensor data includes inertial data;

determining a vehicle characterization based at least in part on;

determining at least one engine characteristic including a vibration pattern based at least in part on the inertial data; and

determining a response to a road condition based at least in part on the inertial data; and

determining a vehicle identifier based at least in part on the vehicle characterization.