IP Library › Granted Patent US 11,710,188
Granted Patent B2
US 11,710,188 · App. 17/088,806 · Granted Jul 25, 2023

Autonomous communication feature use and insurance pricing

Inventors: Blake Konrardy (Bloomington, IL); Scott T. Christensen (Gibson City, IL); Gregory Hayward (Bloomington, IL); Scott Farris (Bloomington, IL)
Assignee: State Farm Mutual Automobile Insurance Company
G06Q40/08B60Q9/00B60R21/00B60W30/16B60W40/09G05B15/02G06F30/20G06Q10/0635G06Q20/0855G06Q40/04G06V20/597G07C5/008G07C5/08G07C5/0808G07C5/0816G08B21/06G08B25/08G08G1/005G08G1/09675G08G1/096725G08G1/096741G08G1/096758G08G1/096775G08G1/096783G08G1/096791G08G1/143G08G1/147G08G1/164G08G1/165G08G1/166G08G1/167G08G1/205H04L67/12H04W4/44H04W4/90B60R2021/0027B60W2040/0818B60W2050/0095B60W2050/0096G01S19/13G06Q50/30G07C5/085H04W4/46
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Quick Facts
Patent No.
US 11,710,188
App. No.
17/088,806
Filed
Nov 4, 2020
Granted
Jul 25, 2023
Kind
B2
Examiner
TRAN, HAI
Art Unit
3697
USPC
705/4
Abstract

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

Claims (38)

1. A computer-implemented method for assessing collision risk of autonomous vehicle operation, the method comprising:

determining, by a server, a plurality of collision risk levels associated with an autonomous operation of a vehicle under a plurality of operating environments based upon information regarding one or more autonomous operation features of the vehicle;

determining, by the server, a plurality of autonomous communication levels within the plurality of operating environments, the plurality of autonomous communication levels being associated with a plurality of expected use levels of the vehicle and indicating availability of each of a plurality of type of autonomous communication capability in other vehicles as a proportion of the other vehicles in corresponding environments that exhibit the plurality of type of autonomous communication capability;

determining, by the server, a total collision risk level associated with the autonomous operation of the vehicle based at least in part upon the plurality of collision risk levels and the plurality of autonomous communication levels; and

communicating, from the server to a client device, information regarding the total collision risk level to cause one or more actions to be performed based upon the total collision risk level.

2. The computer-implemented method of claim 1 , wherein the plurality of autonomous communication levels include information relating to one or more of: levels of autonomous communication with infrastructures, or frequency of autonomous communications between the vehicle and the other vehicles.

3. The computer-implemented method of claim 1 , wherein the plurality of expected use levels are determined based at least in part upon information regarding previous use of the one or more autonomous operation features.

4. The computer-implemented method of claim 3 , wherein the information regarding the previous use of the one or more autonomous operation features includes information regarding previous use of an autonomous communication feature.

5. The computer-implemented method of claim 1 , wherein the information regarding the one or more autonomous operation features is based upon: (i) test results for test units corresponding to the one or more autonomous operation features including responses of the test units to test inputs corresponding to test scenarios, and (ii) actual collision data associated with a plurality of other vehicles having at least one of the one or more autonomous operation features.

6. The computer-implemented method of claim 1 , wherein the total collision risk level is determined without reference to factors relating to collision risk associated with an operator of the vehicle.

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

determining, by the server, an operator collision-risk profile associated with vehicle operation by an operator of the vehicle; and

wherein the total collision risk level is determined based at least in part upon the operator collision-risk profile.

8. The computer-implemented method of claim 1 , wherein the one or more actions to be performed based upon the total collision risk level include: adjusting an insurance policy associated with the vehicle, determining a coverage level associated with the insurance policy, presenting information regarding the total collision risk level to a reviewer to verify the total collision risk level, or presenting the total collision risk level to a customer for review of an adjustment to an insurance policy associated with the vehicle.

9. A computer system for assessing collision risk of autonomous vehicle operation, the system comprising:

one or more processors; and

a program memory coupled to the one or more processors storing executable instructions that, when executed by the one or more processors, cause the computer system to:

determine a plurality of collision risk levels associated with an autonomous operation of a vehicle under a plurality of operating environments based upon information regarding one or more autonomous operation features of the vehicle;

determine a plurality of autonomous communication levels within the plurality of operating environments, the plurality of autonomous communication levels being associated with a plurality of expected use levels of the vehicle and indicating availability of each of a plurality of type of autonomous communication capability in other vehicles as a proportion of the other vehicles in corresponding environments that exhibit the plurality of type of autonomous communication capability;

determine a total collision risk level associated with the autonomous operation of the vehicle based at least in part upon the plurality of collision risk levels and the plurality of autonomous communication levels; and

communicate information regarding the total collision risk level to cause one or more actions to be performed based upon the total collision risk level.

10. The computer system of claim 9 , wherein the plurality of autonomous communication levels include information relating to one or more of: levels of autonomous communication with infrastructures, or frequency of autonomous communications between the vehicle and the other vehicles.

11. The computer system of claim 9 , wherein the plurality of expected use levels are determined based at least in part upon information regarding previous use of the one or more autonomous operation features.

12. The computer system of claim 11 , wherein the information regarding the previous use of the one or more autonomous operation features includes information regarding previous use of an autonomous communication feature.

13. The computer system of claim 9 , wherein the information regarding the one or more autonomous operation features is based upon: (i) test results for test units corresponding to the one or more autonomous operation features including responses of the test units to test inputs corresponding to test scenarios, and (ii) actual collision data associated with a plurality of other vehicles having at least one of the one or more autonomous operation features.

14. The computer system of claim 9 , wherein the total collision risk level is determined without reference to factors relating to collision risks associated with an operator of the vehicle.

15. The computer system of claim 9 , wherein the executable instructions, when executed by the one or more processors, further cause the computer system to:

determine an operator collision-risk profile associated with vehicle operation by an operator of the vehicle; and

wherein the total collision risk level is determined based at least in part upon the operator collision-risk profile.

16. The computer system of claim 9 , wherein the one or more actions to be performed based upon the total collision risk level include: adjusting an insurance policy associated with the vehicle, determining a coverage level associated with the insurance policy, presenting information regarding the total collision risk level to a reviewer to verify the total collision risk level, or presenting the total collision risk level to a customer for review of an adjustment to an insurance policy associated with the vehicle.

17. A tangible, non-transitory computer-readable medium storing instructions for assessing collision risk of autonomous vehicle operation that, when executed by at least one processor of a computer system, cause the computer system to:

determine a plurality of collision risk levels associated with an autonomous operation of a vehicle under a plurality of operating environments based upon information regarding one or more autonomous operation features of the vehicle;

determine a plurality of autonomous communication levels within the plurality of operating environments, the plurality of autonomous communication levels being associated with the plurality of expected use levels of the vehicle and indicating availability of each of a plurality of type of autonomous communication capability in other vehicles as a proportion of the other vehicles in corresponding environments that exhibit the plurality of type of autonomous communication capability;

determine a total collision risk level associated with the autonomous operation of the vehicle based at least in part upon the plurality of collision risk levels and the plurality of autonomous communication levels; and

communicate information regarding the total collision risk level to cause one or more actions to be performed based upon the total collision risk level.

18. The tangible, non-transitory computer-readable medium of claim 17 , wherein the plurality of autonomous communication levels include information relating to one or more of: levels of autonomous communication with infrastructures, or frequency of autonomous communications between the vehicle and the other vehicles.

19. The tangible, non-transitory computer-readable medium of claim 17 , wherein the plurality of expected use levels are determined based at least in part upon information regarding previous use of the one or more autonomous operation features.

20. The tangible, non-transitory computer-readable medium of claim 19 , wherein the information regarding the previous use of the one or more autonomous operation features includes information regarding previous use of an autonomous communication feature.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 14, 2023
From: KONRARDY, BLAKE; CHRISTENSEN, SCOTT T.; HAYWARD, GREGORY; FARRIS, SCOTT
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 062683/0872 →
Continuity (20)
Continuation 16201100 · Nov 27, 2018
Continuation 14713194 · May 15, 2015
Provisional Application 62056893 · Sep 29, 2014
Provisional Application 62047307 · Sep 8, 2014
Provisional Application 62036090 · Aug 11, 2014
Provisional Application 62035983 · Aug 11, 2014
Provisional Application 62035980 · Aug 11, 2014
Provisional Application 62035878 · Aug 11, 2014
Provisional Application 62035867 · Aug 11, 2014
Provisional Application 62035859 · Aug 11, 2014
Provisional Application 62035832 · Aug 11, 2014
Provisional Application 62035780 · Aug 11, 2014
Provisional Application 62035769 · Aug 11, 2014
Provisional Application 62035729 · Aug 11, 2014
Provisional Application 62035723 · Aug 11, 2014
Provisional Application 62035669 · Aug 11, 2014
Provisional Application 62035660 · Aug 11, 2014
Provisional Application 62018169 · Jun 27, 2014
Provisional Application 62000878 · May 20, 2014
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Cited By (1)
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