Accident fault determination for autonomous vehicles

US10185998B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-10185998-B1
Application numberUS-201514713254-A
CountryUS
Kind codeB1
Filing dateMay 15, 2015
Priority dateMay 20, 2014
Publication dateJan 22, 2019
Grant dateJan 22, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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, operating data from sensors within or near the vehicle may be used to determine fault for a vehicle accident, such as a collision. The operating data may include information regarding use of the features at the time of the accident and may further be used to determine an allocation of 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 and/or adjust coverage levels for an insurance policy associated with the vehicle. The allocation of fault may further be used to adjust risk levels or profiles associated with the vehicle operator or with the autonomous operation features.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method for determining fault relating to a collision or other loss, comprising: receiving, at one or more processors, an indication of an accident involving a vehicle having one or more autonomous operation features for controlling the vehicle; receiving, at the one or more processors, operating data regarding operation of the vehicle during a time period including a time of the accident, wherein the operating data includes information from one or more sensors disposed within the vehicle and information regarding the operation of the one or more autonomous operation features, and wherein the information from the one or more sensors includes sensor data generated by the one or more sensors regarding positions of objects in proximity to the vehicle within a vehicle operating environment and wherein the information regarding the operation of the one or more autonomous operation features includes a log of control signals generated by the one or more autonomous operation features to control the vehicle; receiving, at the one or more processors, information regarding use levels of the one or more autonomous operation features during the time period including the time of the accident, wherein the use levels indicate a configuration of at least one of the one or more autonomous operation features enabled at the time of the accident; automatically determining, by the one or more processors and without human involvement, an allocation of fault for the accident between the one or more autonomous operation features and a vehicle operator using the received operating data and the use levels of the one or more autonomous operation features by (i) determining that the use levels indicate the one or more autonomous operation features were configured to and were operating to control an aspect of vehicle operation associated with the accident at the time of the accident and (ii) determining, by comparing intended control actions of the one or more autonomous operation features indicated in the log of the control signals against observed operation of the vehicle indicated by the information from the one or more sensors, relative fault between the one or more autonomous operation features and other control components configured to implement control actions for the vehicle based upon the control signals; and automatically determining, by the one or more processors, one or more coverage levels associated with a vehicle insurance policy based at least in part upon the determined allocation of fault between the one or more autonomous operation features and the vehicle operator. 2. The computer-implemented method of claim 1 , wherein the one or more coverage levels include one or more of the following: a deductible, a type of coverage, a maximum coverage limit, an estimate of a cost to repair the vehicle, an estimate of a cost to replace the vehicle, an estimate of a cost to repair other property, an estimate of a cost to replace other property, or an estimate of a payment of medical expenses. 3. The computer-implemented method of claim 1 , wherein the one or more coverage levels are determined based at least in part upon whether the determined allocation of fault indicates the vehicle operator is at least partially at fault for the accident. 4. The computer-implemented method of claim 3 , wherein the one or more coverage levels are determined based at least in part upon a proportion of fault allocated to the vehicle operator. 5. The computer-implemented method of claim 1 , wherein determining the one or more coverage levels includes determining to cancel the vehicle insurance policy. 6. The computer-implemented method of claim 1 , wherein determining the allocation of fault includes allocating, by a processor, fault for the accident between one or more of the following: the vehicle operator, the one or more autonomous operation features as a group, each of the one or more autonomous operation features separately, or a third party. 7. The computer-implemented method of claim 1 , wherein determining the allocation of fault further includes determining, by a processor, one or more of the following: a point of impact on the vehicle, a point of impact on one or more additional vehicles, a velocity of the vehicle, a velocity of one or more additional vehicles, a movement of the vehicle, a movement of one or more additional vehicles, a location of one or more obstructions, a movement of one or more obstructions, a location of one or more pedestrians, a movement of one or more pedestrians, a measure of road surface integrity, a measure of road surface friction, a location of one or more traffic signs, a location of one or more traffic signals, an indication of a state of one or more traffic signals, a control signal generated by one or more autonomous operation features of the vehicle, or a control signal generated by one or more autonomous operation features of one or more additional vehicles. 8. The computer-implemented method of claim 1 , further comprising: presenting, by the one or more processors, the determined one or more coverage levels to a reviewer for verification; and receiving, at the one or more processors, an indication of verification from the reviewer. 9. The computer-implemented method of claim 1 , further comprising: causing, by the one or more processors, one or more options associated with the determined one or more coverage levels to be presented to a customer for review; receiving, at the one or more processors, a selection by the customer of at least one of the one or more options; and adjusting, by the one or more processors, the vehicle insurance policy based at least in part upon the received selection. 10. A computer system for determining fault relating to a collision or other loss, comprising: one or more processors; one or more communication modules adapted to communicate data; and a non-transitory program memory coupled to the one or more processors and storing executable instructions that when executed by the one or more processors cause the computer system to: receive an indication of an accident involving a vehicle having one or more autonomous operation features for controlling the vehicle; receive operating data regarding operation of the vehicle during a time period including a time of the accident, wherein the operating data includes information from one or more sensors disposed within the vehicle and information regarding the operation of the one or more autonomous operation features, and wherein the information from the one or more sensors includes sensor data generated by the one or more sensors regarding positions of objects in proximity to the vehicle within a vehicle operating environment and wherein the information regarding the operation of the one or more autonomous operation features includes a log of control signals generated by the one or more autonomous operation features to control the vehicle; receive information regarding use levels of the one or more autonomous operation features during the time period including the time of the accident, wherein the use levels indicate a configuration of at least one of the one or more autonomous operation features enabled at the time of the accident; automatically determine, without human involvement, an allocation of fault for the accident between the one or more autonomous operation features and a vehicle operator using the received operating data and the use levels of the one or more autonomous operation features by (i) determining that the use levels indicate the one or more autonomous operation features were configured to and were operating to control an aspect of vehicle operation associated with the accid

Assignees

Inventors

Classifications

  • G06Q40/08Primary

    Insurance · CPC title

  • Recognising the driver's state or behaviour, e.g. attention or drowsiness · CPC title

  • Control during transition between modes · CPC title

  • Automatic control mode change · CPC title

  • Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange · CPC title

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Frequently asked questions

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What does patent US10185998B1 cover?
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, operating data from sensors within or near the vehicle may be used to determine fault for a vehicle accident, such as a collision. The operating data may include information regarding use of the featur…
Who is the assignee on this patent?
State Farm Mutual Automobile Insurance Co
What technology area does this patent fall under?
Primary CPC classification G06Q40/08. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 22 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).