Autonomous vehicle control assessment and selection

Patent metadata

Field	Value
Publication number	US-10241509-B1
Application number	US-201514934400-A
Country	US
Kind code	B1
Filing date	Nov 6, 2015
Priority date	Nov 13, 2014
Publication date	Mar 26, 2019
Grant date	Mar 26, 2019

Abstract

A computer-implemented method for operating an autonomous or semi-autonomous vehicle may include identifying a vehicle operator and retrieving an associated vehicle operator profile. Operating data regarding operation of the autonomous or semi-autonomous vehicle may be received that includes data from sensors disposed within the vehicle. When a request to enable an autonomous operation feature is received, (i) autonomous operation risk levels associated with vehicle operation by the autonomous operation feature based upon the received operating data, and (ii) operator risk levels associated with vehicle operation by the vehicle operator based upon the vehicle operator profile are determined. Autonomous operation feature enablement may be allowed based upon a comparison of (i) autonomous operation risk levels with (ii) operator risk levels. As a result, only safe autonomous feature engagement may be facilitated, and risk averse vehicle owners may receive insurance discounts based upon this safe autonomous feature engagement functionality.

First claim

What is claimed is:

1. A computer-implemented method for operating an autonomous or semi-autonomous vehicle, comprising:
determining, by one or more processors, an identity of a vehicle operator;
retrieving or receiving, at one or more processors, a vehicle operator profile associated with the vehicle operator, wherein the vehicle operator profile indicates the ability of the vehicle operator to operate the autonomous or semi-autonomous vehicle based on vehicle operator driving history;
receiving, by one or more processors, operating data regarding operation of the autonomous or semi-autonomous vehicle, wherein the operating data includes data from one or more sensors disposed within the autonomous or semi-autonomous vehicle;
receiving, at one or more processors, a request to enable one of the one or more autonomous operation features of the autonomous or semi-autonomous vehicle;
determining, by one or more processors, one or more autonomous operation risk levels associated with operation of the autonomous or semi-autonomous vehicle by the one or more autonomous operation features based upon the received operating data;
determining, by one or more processors, one or more operator risk levels associated with operation of the autonomous or semi-autonomous vehicle by the vehicle operator based upon the vehicle operator profile;
determining, by one or more processors, whether to enable the one or more autonomous operation features based upon the determined one or more autonomous operation risk levels and the determined one or more operator risk levels; and
causing, by one or more processors, the determination regarding whether to enable the one or more autonomous operation features to be presented to the vehicle operator.

2. The computer-implemented method of claim 1 , further comprising:
receiving, by one or more processors, autonomous communication data from one or more external sources,
wherein determining whether to enable the at least one of the one or more autonomous operation features is further based upon the received autonomous communication data; and
wherein determining the one or more operator risk levels associated with operation of the autonomous or semi-autonomous vehicle by the vehicle operator based upon the vehicle operator profile includes comparing data or driving behavior settings stored within the vehicle operator profile with the received operating data.

3. The computer-implemented method of claim 1 , wherein determining whether to enable the at least one of the one or more autonomous operation features includes determining not to enable the at least one of the one or more autonomous operation features.

4. The computer-implemented method of claim 3 , further comprising:
causing, by one or more processors, an option to override the determination not to enable the at least one of the one or more autonomous operation features to be presented to the vehicle operator;
receiving, at one or more processors, a selection of the option to override the determination not to enable the at least one of the one or more autonomous operation features; and
causing, by one or more processors, the at least one of the one or more autonomous operation features to be enabled.

5. The computer-implemented method of claim 4 , further comprising:
adjusting, by one or more processors, one or more costs associated with an insurance policy associated with the vehicle operator based upon the selection of the option to override the determination not to enable the at least one of the one or more autonomous operation features.

6. The computer-implemented method of claim 5 , wherein the one or more costs associated with the insurance policy associated with the vehicle operator are further based upon the determined one or more autonomous operation risk levels and the determined one or more operator risk levels.

7. The computer-implemented method of claim 1 , further comprising adjusting, by one or more processors, one or more insurance policies based upon the determined one or more autonomous operation risk levels and the determined one or more operator risk levels, wherein the one or more insurance policies include at least one of: a vehicle insurance policy, a life insurance policy, home insurance policy, a rental insurance policy, a condominium insurance policy, a disability insurance policy, a business insurance policy, a health insurance policy, or a liability insurance policy.

8. The computer-implemented method of claim 1 , wherein the operating data includes data regarding the vehicle environment, including one or more of the following: traffic conditions, construction, road integrity, type of road, geographical location, time of day, precipitation, visibility, light levels, wind, or other weather conditions.

9. The computer-implemented method of claim 1 , wherein a default vehicle operator profile is received as the vehicle operator profile when the vehicle operator cannot be identified as a known vehicle operator.

10. A computer system for operating an autonomous or semi-autonomous vehicle, comprising:
one or more processors;
one or more sensors disposed within the autonomous or semi-autonomous vehicle and communicatively connected to the one or more processors; and
a 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:
determine an identity of a vehicle operator;
retrieve or receive a vehicle operator profile associated with the vehicle operator wherein the vehicle operator profile indicates the ability of the vehicle operator to operate the autonomous or semi-autonomous vehicle based on vehicle operator driving history;
receive operating data regarding operation of the autonomous or semi-autonomous vehicle, wherein the operating data includes data from one or more sensors disposed within the autonomous or semi-autonomous vehicle;
receive a request to enable one of the one or more autonomous operation features of the autonomous or semi-autonomous vehicle;
determine one or more autonomous operation risk levels associated with operation of the autonomous or semi-autonomous vehicle by the one or more autonomous operation features based upon the received operating data;
determine one or more operator risk levels associated with operation of the autonomous or semi-autonomous vehicle by the vehicle operator based upon the vehicle operator profile;
determine whether to enable the one or more autonomous operation features based upon the determined one or more autonomous operation risk levels and the determined one or more operator risk levels; and
cause the determination regarding whether to enable the one or more autonomous operation features to be presented to the vehicle operator.

11. The computer system of claim 10 , wherein the program memory further includes executable instructions that cause the computer system, when the computer system determines not to enable the at least one of the one or more autonomous operation features, to:
cause an option to override the determination not to enable the at least one of the one or more autonomous operation features to be presented to the vehicle operator;
receive a selection of the option to override the determination not to enable the at least one of the one or more autonomous operation features; and
cause the at least one of the one or more autonomous operation features to be enabled.

12. The computer-implemented method of claim 11 , wherein the program memory further includes executable instructions that cause the computer system, when the computer system determines not to enable the at least one of

Assignees

• State Farm Mutual Automobile Insurance Co

Inventors

• Fields Brian Mark
• Huang Chien Che
• Wazeer Mohamed A
• Bennett Shawn C
• Cielocha Steven C
• Bryant Ronny S
• Kohaus Stephen
• Quakenbush Terry
• Novak Richard A
• Chan Aaron Scott
• Main Craig M
• Wu Weixin
• Wollenschlager Torri
• Csanda Carol Marie
• Gorsuch Stacey
• Binion Todd

Classifications

• B60W50/0205

  Diagnosing or detecting failures; Failure detection models · CPC title

• B60W30/06

  Automatic manoeuvring for parking · CPC title

• G06F8/65 Primary

  Updates (security arrangements therefor G06F21/57) · CPC title

• B60W50/02

  Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures · CPC title

• B60W2540/22

  Psychological state; Stress level or workload · CPC title