IP Library Granted Patent US 10,416,670
Granted Patent B1
US 10,416,670 · App. 14/934,388 · Granted Sep 17, 2019

Autonomous vehicle control assessment and selection

Inventors: Brian Mark Fields (Normal, IL); Chien Che Huang (Normal, IL); Mohamed A. Wazeer (Normal, IL); Shawn C. Bennett (Le Roy, IL); Steven C. Cielocha (Bloomington, IL); Ronny S. Bryant (Bloomington, IL); Stephen Kohaus (Normal, IL); Terry Quakenbush (Normal, IL); Richard A. Novak (Bloomington, IL); Aaron Scott Chan (Lisle, IL); Craig M. Main (Hagerstown, MD); Weixin Wu (Aurora, IL); Torri Wollenschlager (Bloomington, IL); Carol Marie Csanda (Normal, IL); Stacey Gorsuch (Bloomington, IL); Todd Binion (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G05D1/0061B60W30/09B60W30/0956B60W40/09B60W50/12B60W50/14G06Q40/08B60W2040/0809B60W2050/0071B60W2050/0073
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Quick Facts
Patent No.
US 10,416,670
App. No.
14/934,388
Filed
Nov 6, 2015
Granted
Sep 17, 2019
Kind
B1
Art Unit
3661
USPC
701/23
Abstract

According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, an identity of a vehicle operator may be identified and a vehicle operator profile may be retrieved. Operating data regarding autonomous operation features operating the vehicle may be received from vehicle-mounted sensors. When a request to disable an autonomous feature is received, a risk level for the autonomous feature is determined and compared with a driver behavior setting for the autonomous feature stored in the vehicle operator profile. Based upon the risk level comparison, the autonomous vehicle retains control of vehicle or the autonomous feature is disengaged depending upon which is the safer driver—the autonomous vehicle or the vehicle human occupant. As a result, unsafe disengagement of self-driving functionality for autonomous vehicles may be alleviated. Insurance discounts may be provided for autonomous vehicles having this safety functionality.

Claims (82)

1. A computer-implemented method for operating an autonomous or semi-autonomous vehicle, comprising, during operation of the autonomous or semi-autonomous vehicle:

receiving, by one or more processors, operating data regarding one or more autonomous operation features operating the autonomous or semi-autonomous vehicle, wherein the operating data includes data regarding a current operating environment of the autonomous or semi-autonomous vehicle from one or more sensors disposed within the autonomous or semi-autonomous vehicle;

receiving, at one or more processors, a request to disable at least one of the one or more autonomous operation features;

determining, by one or more processors, one or more autonomous operation risk levels associated with current operation of the autonomous or semi-autonomous vehicle in the current operating environment 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 in the current operating environment by the vehicle operator based upon (i) the received operating data, and (ii) driving behavior settings for the vehicle operator, wherein the behavior settings include information that is pre-determined and/or stored in a vehicle operator profile;

calculating, by one or more processors, one or more relative risk levels by comparing the one or more autonomous operation risk levels against the one or more operator risk levels;

determining, by one or more processors, whether to disable the at least one of the one or more autonomous operation features based upon the one or more relative risk levels; and

causing, by one or more processors, an indication of the determination regarding whether to disable the at least one of 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 disable the at least one of the one or more autonomous operation features is further based upon the received autonomous communication data.

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

5. The computer-implemented method of claim 3 , further comprising:

causing, by one or more processors, an option to override the determination not to disable 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 disable the at least one of the one or more autonomous operation features;

determining, by one or more processors, one or more risk levels associated with disabling 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 disabled only if the determined one or more risk levels associated with disabling the at least one of the one or more autonomous operation features are below a critical threshold.

6. The computer-implemented method of claim 3 , further comprising:

causing, by one or more processors, an option to override the determination not to disable 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 disable the at least one of the one or more autonomous operation features; and

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 disable the at least one of the one or more autonomous operation features.

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

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

determining, by one or more processors, a preparedness level of the vehicle operator to assume control of one or more functions of operating the autonomous or semi-autonomous vehicle controlled by the at least one of the one or more autonomous operation features,

wherein determining whether to disable the at least one of the one or more autonomous operation features further based upon the determined preparedness level of the vehicle operator.

9. 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.

10. 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.

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

determining, by one or more processors, an identity of a vehicle operator; and

receiving, at one or more processors, the vehicle operator profile associated with the vehicle operator, 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.

12. 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, during operation of the autonomous or semi-autonomous vehicle:

receive operating data regarding one or more autonomous operation features operating the autonomous or semi-autonomous vehicle, wherein the operating data includes data regarding a current operating environment of the autonomous or semi-autonomous vehicle from the one or more sensors disposed within the autonomous or semi-autonomous vehicle;

receive a request to disable at least one of the one or more autonomous operation features;

determine one or more autonomous operation risk levels associated with current operation of the autonomous or semi-autonomous vehicle in the current operating environment 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 in the current operating environment vehicle by the vehicle operator based upon (i) the received operating data, and (ii) driving behavior settings for the vehicle operator, wherein the behavior settings include information that is pre-determined and/or stored in a vehicle operator profile;

calculate one or more relative risk levels by comparing the one or more autonomous operation risk levels against the one or more operator risk levels;

determine whether to disable the at least one of the one or more autonomous operation features based upon the one or more relative risk levels; and

cause an indication of the determination regarding whether to disable the at least one of the one or more autonomous operation features to be presented to the vehicle operator.

13. The computer system of claim 12 , wherein the program memory further includes executable instructions that cause the computer system, when the computer system determines not to disable the at least one of the one or more autonomous operation features, to:

cause an option to override the determination not to disable 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 disable 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 disabled.

14. The computer system of claim 12 , wherein the program memory further includes executable instructions that cause the computer system, when the computer system determines not to disable the at least one of the one or more autonomous operation features, to:

cause an option to override the determination not to disable 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 disable the at least one of the one or more autonomous operation features;

determine one or more risk levels associated with disabling 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 disabled only if the determined one or more risk levels associated with disabling the at least one of the one or more autonomous operation features are below a critical threshold.

15. The computer system of claim 12 , wherein the program memory further includes executable instructions that cause the computer system, when the computer system determines not to disable the at least one of the one or more autonomous operation features, to:

cause an option to override the determination not to disable 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 disable the at least one of the one or more autonomous operation features; and

adjust 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 disable the at least one of the one or more autonomous operation features, wherein the one or more costs associated with the insurance policy associated with the vehicle operator is further based upon the determined one or more autonomous operation risk levels and the determined one or more operator risk levels.

16. A tangible, non-transitory computer-readable medium storing executable instructions for operating an autonomous or semi-autonomous vehicle that, when executed by at least one processor of a computer system, cause the computer system to, during operation of the autonomous or semi-autonomous vehicle:

receive operating data regarding one or more autonomous operation features operating the autonomous or semi-autonomous vehicle, wherein the operating data includes data regarding a current operating environment of the autonomous or semi-autonomous vehicle from one or more sensors disposed within the autonomous or semi-autonomous vehicle;

receive a request to disable at least one of the one or more autonomous operation features;

determine one or more autonomous operation risk levels associated with current operation of the autonomous or semi-autonomous vehicle in the current operating environment 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 in the current operating environment by the vehicle operator based upon (i) the received operating data, and (ii) driving behavior settings for the vehicle operator, wherein the behavior settings include information that is pre-determined and/or stored in a vehicle operator profile;

calculate one or more relative risk levels by comparing the one or more autonomous operation risk levels against the one or more operator risk levels;

determine whether to disable the at least one of the one or more autonomous operation features based upon the one or more relative risk levels; and

cause an indication of the determination regarding whether to disable the at least one of the one or more autonomous operation features to be presented to the vehicle operator.

17. The tangible, non-transitory computer-readable medium of claim 16 , further storing executable instructions that cause the computer system, when the computer system determines not to disable the at least one of the one or more autonomous operation features, to:

cause an option to override the determination not to disable 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 disable 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 disabled.

18. The tangible, non-transitory computer-readable medium of claim 16 , further storing executable instructions that cause the computer system, when the computer system determines not to disable the at least one of the one or more autonomous operation features, to:

cause an option to override the determination not to disable 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 disable the at least one of the one or more autonomous operation features;

determine one or more risk levels associated with disabling 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 disabled only if the determined one or more risk levels associated with disabling the at least one of the one or more autonomous operation features are below a critical threshold.

19. The tangible, non-transitory computer-readable medium of claim 16 , further storing executable instructions that cause the computer system, when the computer system determines not to disable the at least one of the one or more autonomous operation features, to:

cause an option to override the determination not to disable 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 disable the at least one of the one or more autonomous operation features; and

adjust 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 disable the at least one of the one or more autonomous operation features, wherein the one or more costs associated with the insurance policy associated with the vehicle operator is further based upon the determined one or more autonomous operation risk levels and the determined one or more operator risk levels.

20. The tangible, non-transitory computer-readable medium of claim 16 , further storing executable instructions that cause the computer system to:

adjust 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.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2016
From: FIELDS, BRIAN MARK; HUANG, CHIEN CHE; WAZEER, MOHAMED A.; BENNETT, SHAWN C.; CIELOCHA, STEVE 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
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 038094/0773 →
Continuity (13)
Provisional Application 62103855 · Jan 15, 2015
Provisional Application 62103911 · Jan 15, 2015
Provisional Application 62103893 · Jan 15, 2015
Provisional Application 62103838 · Jan 15, 2015
Provisional Application 62103895 · Jan 15, 2015
Provisional Application 62103891 · Jan 15, 2015
Provisional Application 62103831 · Jan 15, 2015
Provisional Application 62103856 · Jan 15, 2015
Provisional Application 62103907 · Jan 15, 2015
Provisional Application 62103836 · Jan 15, 2015
Provisional Application 62103914 · Jan 15, 2015
Provisional Application 62103840 · Jan 15, 2015
Provisional Application 62079533 · Nov 13, 2014
Cited By (13)
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