Systems and methods for associating vehicle operators with driving misses indicated in vehicle operation data

• US 10,127,467 B1
• Filed: 01/10/2018
• Issued: 11/13/2018
• Est. Priority Date: 01/06/2016
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Chan, Aaron Scott, Sanchez, Kenneth Jason
• Primary Examiner(s): Sherali, Ishrat I
• Application Number:
  US15/867,384
• Time in Patent Office: 307 Days
• Field of Search: 382104
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• CPC Class Codes: G06V 20/597 Recognising the driver's state or behaviour, e.g. attention or drowsiness
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• 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 5/085 using electronic data carriers
• CPC Class Codes: G07C 9/257 electronically G07C9/26 takes precedence

Abstract

Systems and methods for assessing vehicle operation are provided. According to certain aspects, an electronic device may receive and analyze image data depicting an individual located within a vehicle. The electronic device may also access and compile vehicle operation data and operator data corresponding to a state or condition of the vehicle operator. The electronic device may identify, from the vehicle operator data, a set of close misses experienced by the vehicle, correlate the set of close misses with a state or condition of the vehicle operator, and attribute at least some of the close misses to the vehicle operator. A remote server may aggregate and compile corresponding data from a plurality of vehicles.

Claims

1. A computer-implemented method in an electronic device of assessing operation of a vehicle by an operator, the method comprising:

accessing (i) vehicle operation data associated with the operation of the vehicle, and (ii) operator data associated with the operator, the operator data indicating a set of conditions or movements of the operator, and comprising image data;

analyzing the image data to identify the operator of the vehicle;

identifying, from the vehicle operation data, a close miss experienced by the vehicle during the operation of the vehicle;

identifying a portion of the operator data indicating a condition or movement of the operator that occurred prior to an occurrence time of the close miss; and

based on the condition or movement of the operator that occurred prior to the occurrence time of the close miss, attributing the close miss to the operator.

2. The computer-implemented method of claim 1, wherein accessing the vehicle operation data associated with the operation of the vehicle comprises:

retrieving sensor data from at least one of;

a yaw rate sensor, a tilt sensor, a steering angle sensor, a location module, and a brake sensor.

3. The computer-implemented method of claim 1, wherein accessing the operator data associated with the operator comprises:

accessing (i) biometric data associated with the operator, and (ii) the image data indicating a movement or a position of the operator.

4. The computer-implemented method of claim 3, wherein accessing the image data comprises:

accessing the image data from at least one image sensor.

5. The computer-implemented method of claim 1, further comprising:

recording an indication of the close miss and an identification of the operator.

6. The computer-implemented method of claim 5, further comprising:

transmitting, to a remote server, the indication of the close miss and the identification of the operator.

7. The computer-implemented method of claim 1, wherein identifying, from the vehicle operation data, the close miss experienced by the vehicle during the operation of the vehicle comprises:

identifying, from the vehicle operation data, a plurality of close misses experienced by the vehicle during the operation of the vehicle.

8. The computer-implemented method of claim 1, wherein attributing the close miss to the operator is further based on an instance in which the vehicle operation data exceeds a predetermined threshold.

9. The computer-implemented method of claim 8, further comprising:

accessing the predetermined threshold from a remote server.

10. A system in an electronic device for assessing operation of a vehicle by an operator, comprising:

a memory configured to store non-transitory computer executable instructions; and

a processor configured to interface with the memory, wherein the processor is configured to execute the non-transitory computer executable instructions to cause the processor to;

access (i) vehicle operation data associated with the operation of the vehicle, and (ii) operator data associated with the operator, the operator data indicating a set of conditions or movements of the operator, and comprising image data,

analyze the image data to identify the operator of the vehicle,

identify, from the vehicle operation data, a close miss experienced by the vehicle during the operation of the vehicle,

identify a portion of the operator data indicating a condition or movement of the operator that occurred prior to an occurrence time of the close miss, and

based on the condition or movement of the operator that occurred prior to the occurrence time of the close miss, attribute the close miss to the operator.

11. The system of claim 10, wherein to access the vehicle operation data associated with the operation of the vehicle, the processor is configured to:

retrieve sensor data from at least one of;

a yaw rate sensor, a tilt sensor, a steering angle sensor, a location module, and a brake sensor.

12. The system of claim 10, wherein to access the operator data associated with the operator, the processor is configured to:

access (i) biometric data associated with the operator, and (ii) the image data indicating a movement or a position of the operator.

13. The system of claim 12, wherein to access the image data, the processor is configured to:

access the image data from at least one image sensor.

14. The system of claim 10, wherein the processor is configured to execute the non-transitory computer executable instructions to further cause the processor to:

record an indication of the close miss and an identification of the operator.

15. The system of claim 14, wherein the processor is configured to execute the non-transitory computer executable instructions to further cause the processor to:

transmit, to a remote server, the indication of the close miss and the identification of the operator.

16. The system of claim 10, wherein to identify, from the vehicle operation data, the close miss experienced by the vehicle during the operation of the vehicle, the processor is configured to:

identify, from the vehicle operation data, a plurality of close misses experienced by the vehicle during the operation of the vehicle.

17. The system of claim 10, wherein the processor attributes the close miss to the operator further based on an instance in which the vehicle operation data exceeds a predetermined threshold.

18. The system of claim 17, wherein the processor is configured to execute the non-transitory computer executable instructions to further cause the processor to:

access the predetermined threshold from a remote server.