Assessing risk using vehicle environment information

• US 10,223,752 B1
• Filed: 10/20/2015
• Issued: 03/05/2019
• Est. Priority Date: 10/18/2013
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Binion, Todd, Harr, Joe, Fields, Brian Mark, Cielocha, Steven, Balbach, Steve J.
• Primary Examiner(s): Baird, Edward J
• Application Number:
  US14/887,580
• Time in Patent Office: 1,232 Days
• Field of Search: 705 4
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C

Abstract

A method includes receiving vehicle sensor data from a second vehicle via one or more wireless signals. The vehicle sensor data is collected by a sensor that is located on or in the second vehicle and configured to sense an environment external to the second vehicle. The vehicle sensor data is received at an electronic processing system, and stored in a memory. A set of one or more characteristics of the environment external to the first vehicle is determined by processing the stored vehicle sensor data, and a risk indicator is determined based on the set of one or more characteristics, a risk indicator. An insurance rating for an insurance policy associated with the first vehicle is determined based on the risk indicator.

Claims

1. A method of determining an insurance rating for an insurance policy associated with a first vehicle, the method comprising:

receiving, at a communication interface of the first vehicle and from a second vehicle via one or more wireless signals, vehicle sensor data collected by a camera device, a radar device, a lidar device, or a sonar device that is (i) located on or in the second vehicle and (ii) configured to sense an environment external to the second vehicle; and

receiving, at an electronic processing system comprising a memory and one or more processors, the vehicle sensor data that was received at the communication interface of the first vehicle;

storing the vehicle sensor data in the memory;

determining a set of one or more characteristics of the environment external to the second vehicle by processing, via the one or more processors, the stored vehicle sensor data;

determining, via the one or more processors and based on the set of one or more characteristics of the environment external to the second vehicle, a risk indicator; and

determining, via the one or more processors and based on the risk indicator, the insurance rating for the insurance policy associated with the first vehicle.

2. The method of claim 1, further comprising sending a wireless request, wherein the vehicle sensor data is received at the communication interface of the first vehicle in response to the wireless request.

3. The method of claim 1, wherein the vehicle sensor data is received at the electronic processing system via a wireless communication network.

4. The method of claim 1, wherein the vehicle sensor data is received at the electronic processing system via a portable memory device.

5. The method of claim 1, wherein determining the risk indicator includes determining the risk indicator using correlation data, the correlation data modeling correlations between patterns relating to external conditions and likelihoods of incurring losses under a vehicle insurance policy.

6. The method of claim 1, further comprising:

receiving, at the electronic processing system, additional vehicle sensor data;

storing the additional vehicle sensor data in the memory; and

determining a set of one or more characteristics of an environment external to the first vehicle by processing, via the one or more processors, the stored additional vehicle sensor data,

wherein determining the risk indicator is further based on the set of one or more characteristics of the environment external to the first vehicle.

7. A system for determining an insurance rating for an insurance policy associated with a first vehicle, the system comprising:

an onboard system of a first vehicle comprising

a communication interface configured to receive, from a second vehicle via one or more wireless signals, vehicle sensor data collected by a camera device, a radar device, a lidar device, or a sonar device that is (i) located on or in the second vehicle and (ii) configured to sense an environment external to the second vehicle; and

an electronic processing system comprising a memory and one or more processors, and configured to

receive the vehicle sensor data that was received at the communication interface of the first vehicle,

store the vehicle sensor data in the memory,

determine a set of one or more characteristics of the environment external to the second vehicle by processing, via the one or more processors, the stored vehicle sensor data,

determine, via the one or more processors and based on the set of one or more characteristics of the environment external to the second vehicle, a risk indicator, and

determine, via the one or more processors and based on the risk indicator, the insurance rating for the insurance policy associated with the first vehicle.

8. The system of claim 7, wherein the onboard system is configured to send a wireless request, and wherein the communication interface receives the vehicle sensor data in response to the wireless request.

9. The system of claim 7, wherein the electronic processing system is configured to receive the vehicle sensor data via a wireless communication network.

10. The system of claim 7, wherein the electronic processing system is configured to receive the vehicle sensor data via a portable memory device.

11. The system of claim 7, wherein electronic processing system is configured to determine the risk indicator using correlation data, the correlation data modeling correlations between patterns relating to external conditions and likelihoods of incurring losses under a vehicle insurance policy.

12. A method of determining an insurance rating for an insurance policy associated with a first vehicle, the method comprising:

receiving, at a communication interface of the first vehicle and from a second vehicle via one or more wireless signals, vehicle sensor data collected by a camera device, a radar device, a lidar device, or a sonar device that is (i) located on or in the second vehicle and (ii) configured to sense an environment external to the second vehicle;

determining a set of one or more characteristics of the environment external to the second vehicle by processing, via one or more processors of an onboard system of the first vehicle, the vehicle sensor data;

determining, via the one or more processors of the onboard system and based on the set of one or more characteristics of the environment external to the second vehicle, a risk indicator;

receiving, at an electronic processing system, the risk indicator; and

determining, by one or more processors of the electronic processing system, the insurance rating based on the risk indicator for the insurance policy associated with the first vehicle.

13. The method of claim 12, further comprising sending a wireless request, wherein the vehicle sensor data is received at the communication interface of the first vehicle in response to the wireless request.

14. The method of claim 12, wherein the risk indicator is received at the electronic processing system via a wireless communication network.

15. The method of claim 12, wherein determining the set of one or more characteristics and determining the risk indicator occur substantially in real-time as the vehicle sensor data is received at the communication interface.

16. The method of claim 12, wherein determining the risk indicator includes determining the risk indicator using correlation data stored at the onboard system, the correlation data modeling correlations between patterns relating to external conditions and likelihoods of incurring losses under a vehicle insurance policy.

17. The method of claim 12, further comprising:

generating additional vehicle sensor data at the first vehicle; and

determining a set of one or more characteristics of an environment external to the first vehicle by processing, via the one or more processors of the onboard system, the additional vehicle sensor data,

wherein determining the risk indicator is further based on the set of one or more characteristics of the environment external to the first vehicle.