IP Library › Granted Patent US 11,386,501
Granted Patent B1
US 11,386,501 · App. 16/803,171 · Granted Jul 12, 2022

Accident fault determination for autonomous vehicles

Inventors: Blake Konrardy (San Francisco, CA); Scott T. Christensen (Salem, OR); Gregory Hayward (Bloomington, IL); Scott Farris (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G06Q40/08B60W50/0205G06Q40/00G07C5/008G07C5/0808
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Quick Facts
Patent No.
US 11,386,501
App. No.
16/803,171
Granted
Jul 12, 2022
Kind
B1
Abstract

Methods and systems for determining fault for an accident involving a vehicle having one or more autonomous and/or semi-autonomous operation features are provided. According to certain aspects, performance data indicative of the performance of the features may be used to determine fault for a vehicle accident, such as a collision, by allocating fault for the accident between a vehicle operator, the autonomous operation features, or a third party. The allocation of fault may be used to determine an adjustment to an insurance policy and/or adjust coverage levels for an insurance policy. The allocation of fault may further be used to adjust risk levels or profiles associated with the autonomous or semi-autonomous operation features, which may be applied to other vehicles having the same or similar features.

Claims (36)

1. A computer system for determining fault for a vehicle collision involving a vehicle, the computer system comprising one or more processors or transceivers of a server configured to:

receive, at the server via a communication network, autonomous feature data regarding use, configuration, or settings of one or more autonomous features before or during the vehicle collision, the autonomous feature data including a plurality of control signals generated by one or more autonomous vehicle technologies to control the vehicle;

evaluate, by the server, the plurality of control signals to identify control actions attempted by the one or more autonomous vehicle technologies;

determine, by the server and based upon the identified control actions, fault contributions for the vehicle collision for each of: (i) the one or more autonomous features that failed to generate control signals to control the vehicle to avoid the vehicle collision, and (ii) one or more hardware components of the vehicle that failed to implement the control signals generated by the one or more autonomous features; and

determine and assign, by the server, a percentage of fault for the vehicle collision to the one or more autonomous features that were in control of the vehicle at a time of the vehicle collision based upon the determined fault contributions.

2. The computer system of claim 1 , wherein the computer system is further configured to:

perform, by the server, one or more actions based upon the assigned percentage of fault: adjust an insurance policy associated with the vehicle, determine a coverage level associated with the insurance policy, present the assigned percentage of fault to a reviewer to verify the assigned percentage of fault, or present the assigned percentage of fault to a customer for review of the assigned percentage of fault.

3. The computer system of claim 1 , wherein the percentage of fault for the vehicle collision is assigned to the one or more autonomous features only after the one or more processors determine that the one or more autonomous features attempted to return control of the vehicle to a vehicle operator prior to the vehicle collision, but failed to provide sufficient time to transfer control.

4. The computer system of claim 1 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining a point of impact on the vehicle.

5. The computer system of claim 1 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining, based upon control signals or outputs from the one or more autonomous vehicle technologies before or during the vehicle collision, whether the one or more autonomous features were ineffective in controlling the vehicle.

6. The computer system of claim 1 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining that the vehicle collision resulted from physical defects in physical components of the one or more autonomous features.

7. The computer system of claim 1 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining that the one or more autonomous features had a chance to avoid the vehicle collision, but no action was taken.

8. The computer system of claim 1 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining environmental conditions associated with the vehicle before or during the vehicle collision, and using test or known performance of the one or more autonomous features in such environmental conditions.

9. A computer-implemented method of determining fault for a vehicle collision involving a vehicle, the method comprising:

receiving, at one or more processors or transceivers of a server via a communication network, autonomous feature data regarding use, configuration, or settings of one or more autonomous features before or during the vehicle collision, the autonomous feature data including a plurality of control signals generated by one or more autonomous vehicle technologies to control the vehicle;

evaluating, by the one or more processors of the server, the plurality of control signals to identify control actions attempted by the one or more autonomous vehicle technologies;

determining, by the one or more processors of the server and based upon the identified control actions, fault contributions for the vehicle collision for each of: (i) the one or more autonomous features that failed to generate control signals to control the vehicle to avoid the vehicle collision, and (ii) one or more hardware components of the vehicle that failed to implement the control signals generated by the one or more autonomous features; and

determining and assigning, by the one or more processors of the server, a percentage of fault for the vehicle collision to the one or more autonomous features that were in control of the vehicle at a time of the vehicle collision based upon the determined fault contributions.

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

performing, by the one or more processors of the server, one or more actions based upon the assigned percentage of fault: adjust an insurance policy associated with the vehicle, determine a coverage level associated with the insurance policy, present the assigned percentage of fault to a reviewer to verify the assigned percentage of fault, or present the assigned percentage of fault to a customer for review of the assigned percentage of fault.

11. The computer-implemented method of claim 9 , wherein the percentage of fault for the vehicle collision is assigned to the one or more autonomous features only after the one or more processors determine that the one or more autonomous features attempted to return control of the vehicle to a vehicle operator prior to the vehicle collision, but failed to provide sufficient time to transfer control.

12. The computer-implemented method of claim 9 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining a point of impact on the vehicle.

13. The computer-implemented method of claim 9 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining, based upon control signals or outputs from the one or more autonomous vehicle technologies before or during the vehicle collision, whether the one or more autonomous features were ineffective in controlling the vehicle.

14. The computer-implemented method of claim 9 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining that the vehicle collision resulted from physical defects in physical components of the one or more autonomous features.

15. The computer-implemented method of claim 9 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining that the one or more autonomous features had a chance to avoid the vehicle collision, but no action was taken.

16. The computer-implemented method of claim 9 , wherein determining the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining environmental conditions associated with the vehicle before or during the vehicle collision, and test or known performance of the one or more autonomous features in such environmental conditions.

17. A computer system for determining fault for a vehicle collision involving a vehicle, the computer system comprising one or more processors or transceivers of a server configured to:

receive, at the server via a communication network, an indication of the vehicle collision involving the vehicle having one or more autonomous vehicle technologies, the indication being transmitted via wireless communication or data transmission;

receive, at the server via the communication network, autonomous feature data regarding use, configuration, or settings of one or more autonomous features before or during the vehicle collision, the autonomous feature data including a plurality of control signals generated by the one or more autonomous vehicle technologies to control the vehicle;

evaluate, by the server, the plurality of control signals to identify control actions attempted by the one or more autonomous vehicle technologies;

determine, by the server and based upon the identified control actions, fault contributions for the vehicle collision for each: (i) the one or more autonomous features that failed to generate control signals to control the vehicle to avoid the vehicle collision, and (ii) one or more hardware components of the vehicle that failed to implement the control signals generated by the one or more autonomous features; and

determine and assign, by the server, a percentage of fault for the vehicle collision to the one or more autonomous features that were in control of the vehicle at a time of the vehicle collision based upon the determined fault contributions.

18. The computer system of claim 17 , wherein the computer system is further configured to:

perform, by the server, one or more actions based upon the assigned percentage of fault: adjust an insurance policy associated with the vehicle, determine a coverage level associated with the insurance policy, present the assigned percentage of fault to a reviewer to verify the assigned percentage of fault, or present the assigned percentage of fault to a customer for review of the assigned percentage of fault.

19. The computer system of claim 17 , wherein the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining that the one or more autonomous features had a chance to avoid the vehicle collision, but no action was taken.

20. The computer system of claim 17 , wherein the percentage of fault for the vehicle collision that is assigned to the one or more autonomous features involves the one or more processors determining that the vehicle collision resulted from physical defects in physical components of the one or more autonomous features.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 27, 2020
From: KONRARDY, BLAKE; HAYWARD, GREGORY; CHRISTENSEN, SCOTT T.; FARRIS, SCOTT
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 051951/0439 →
Continuity (21)
Continuation 16407238 · May 9, 2019
Continuation 15907380 · Feb 28, 2018
Continuation 14951798 · Nov 25, 2015
Continuation In Part 14713261 · May 15, 2015
Provisional Application 62056893 · Sep 29, 2014
Provisional Application 62047307 · Sep 8, 2014
Provisional Application 62035669 · Aug 11, 2014
Provisional Application 62035878 · Aug 11, 2014
Provisional Application 62035729 · Aug 11, 2014
Provisional Application 62035983 · Aug 11, 2014
Provisional Application 62035832 · Aug 11, 2014
Provisional Application 62035980 · Aug 11, 2014
Provisional Application 62035859 · Aug 11, 2014
Provisional Application 62035723 · Aug 11, 2014
Provisional Application 62035867 · Aug 11, 2014
Provisional Application 62035769 · Aug 11, 2014
Provisional Application 62035660 · Aug 11, 2014
Provisional Application 62035780 · Aug 11, 2014
Provisional Application 62036090 · Aug 11, 2014
Provisional Application 62018169 · Jun 27, 2014
Provisional Application 62000878 · May 20, 2014
Cited By (1)
US 12,462,573