Autonomous vehicle software version assessment

• US 10,353,694 B1
• Filed: 01/12/2018
• Issued: 07/16/2019
• Est. Priority Date: 11/13/2014
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• 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., Main, Craig M., Wu, Weixin, Wollenschlager, Torri, Csanda, Carol Marie, Gorsuch, Stacey, Binion, Todd, Chan, Aaron Scott
• Primary Examiner(s): Zhen, Wei Y
• Assistant Examiner(s): Wu, Junchun
• Application Number:
  US15/869,777
• Time in Patent Office: 550 Days
• Field of Search: 717172
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/4064 Evaluating the brain A61B5/031, A61B5/369, A61B5/14553 take precedence
• CPC Class Codes: A61B 5/4094 Diagnosing or monitoring seizure diseases, e.g. epilepsy
• CPC Class Codes: A61B 5/6893 Cars
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: B60K 35/00 Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
• CPC Class Codes: B60W 10/04 including control of propulsion units
• CPC Class Codes: B60W 2040/0809 Driver authorisation; Driver identity check
• CPC Class Codes: B60W 2040/0818 Inactivity or incapacity of driver
• CPC Class Codes: B60W 2050/0071 Controller overrides driver automatically
• CPC Class Codes: B60W 2050/0073 Driver overrides controller
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2050/0215 Sensor drifts or sensor failures
• CPC Class Codes: B60W 2050/046 involving external transmission of data to or from the vehicle, e.g. via telemetry, satellite, Global Positioning System [GPS]
• CPC Class Codes: B60W 2050/143 Alarm means
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2540/043 Identity of occupants
• CPC Class Codes: B60W 2540/22 Psychological state; Stress level or workload
• CPC Class Codes: B60W 2540/221 Physiology, e.g. weight, heartbeat, health or special needs
• CPC Class Codes: B60W 2540/26 Incapacity
• CPC Class Codes: B60W 2556/45 : External transmission of data to or from the vehicle
• CPC Class Codes: B60W 2756/10 : Involving external transmission of data to or from the vehicle
• CPC Class Codes: B60W 2900/00 : Indexing codes relating to the purpose of, or problem solved of road vehicle drive control systems not otherwise provided for in groups B60W30/00
• CPC Class Codes: B60W 30/06 : Automatic manoeuvring for parking
• CPC Class Codes: B60W 30/09 : Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: B60W 30/0956 : the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: B60W 40/02 : related to ambient conditions
• CPC Class Codes: B60W 40/08 : related to drivers or passengers
• CPC Class Codes: B60W 40/09 : Driving style or behaviour
• CPC Class Codes: B60W 50/02 : Ensuring safety in case of control system failures, e.g. by diagnosing, circumventing or fixing failures
• CPC Class Codes: B60W 50/0205 : Diagnosing or detecting failures; Failure detection models
• CPC Class Codes: B60W 50/045 : Monitoring control system parameters
• CPC Class Codes: B60W 50/082 : Selecting or switching between different modes of propelling
• CPC Class Codes: B60W 50/12 : Limiting control by the driver depending on vehicle state, e.g. interlocking means for the control input for preventing unsafe operation
• CPC Class Codes: B60W 50/14 : Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: B60W 60/0053 : from vehicle to occupant
• CPC Class Codes: B60W 60/0059 : Estimation of the risk associated with autonomous or manual driving, e.g. situation too complex, sensor failure or driver incapacity
• CPC Class Codes: B60W 60/007 : Emergency override Handing over between remote control and on-board control or handing over between remote control arrangements G05D1/227
• CPC Class Codes: B62D 15/0285 : Parking performed automatically
• CPC Class Codes: G01C 21/3407 : specially adapted for specific applications
• CPC Class Codes: G05D 1/0055 : with safety arrangements
• CPC Class Codes: G05D 1/0214 : in accordance with safety or protection criteria, e.g. avoiding hazardous areas monitoring the location of vehicles within a certain area, e.g. forbidden or allowed areas, in traffic control systems for road vehicles G08G1/13
• CPC Class Codes: G05D 1/0278 : using satellite positioning signals, e.g. GPS
• CPC Class Codes: G06F 8/65 : Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06Q 30/0206 : Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0207 : Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0217 : involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G07C 5/02 : Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/0808 : Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G08B 25/10 : using wireless transmission systems G08B25/009 takes precedence
• CPC Class Codes: G08G 1/091 : Traffic information broadcasting broadcasting communication H04H
• CPC Class Codes: G08G 1/0962 : having an indicator mounted inside the vehicle, e.g. giving voice messages
• CPC Class Codes: G08G 1/14 : indicating individual free spaces in parking areas

Abstract

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Claims

1. A computer-implemented method for updating an autonomous operation feature, comprising:

receiving, at one or more processors, an indication of an update associated with the autonomous operation feature;

identifying, by one or more processors, an autonomous or semi-autonomous vehicle having the autonomous operation feature;

collecting, by one or more processors, operating data for the autonomous or semi-autonomous vehicle during operation of the autonomous or semi-autonomous vehicle by electronic communication with an on-board computer of the vehicle, wherein the operating data includes data regarding operation of the autonomous operation feature and environmental conditions during operation of the autonomous or semi-autonomous vehicle;

generating, by one or more processors, at least one risk level associated with the update to the autonomous operation feature based upon virtual or physical testing of the update associated with the autonomous operation feature; and

determining, by one or more processors, a weighted risk level for the autonomous or semi-autonomous vehicle, wherein the weighted risk level is determined based upon the at least one risk level and the operating data to facilitate installation of updates to autonomous operation features.

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

determining, by one or more processors, whether a risk level change associated with installation of the update for the autonomous or semi-autonomous vehicle meets one or more risk-related criteria for installing the update; and

causing, by one or more processors, the update to be installed within the autonomous or semi-autonomous vehicle when the risk level change meets the one or more risk-related criteria.

3. The computer-implemented method of claim 2, wherein the one or more risk-related criteria include a reduction in risk of at least a threshold magnitude, which threshold magnitude is greater than or equal to zero.

4. The computer-implemented method of claim 2, further including:

determining, by one or more processors, a change in at least one cost associated with an insurance policy based upon the determined risk level change associated with the autonomous or semi-autonomous vehicle,

wherein the one or more risk-related criteria include a reduction in the at least one cost associated with the insurance policy of at least a threshold magnitude, which threshold magnitude is greater than or equal to zero.

5. The computer-implemented method of claim 2, further including:

causing, by one or more processors, a notification regarding the update to be presented to an insurance customer associated with the autonomous or semi-autonomous vehicle; and

receiving, at one or more processors, an indication of acceptance of the update from the insurance customer;

wherein causing the update to be installed within the autonomous or semi-autonomous vehicle includes transmitting, by an update module, the update to the autonomous or semi-autonomous vehicle in response to the received indication of acceptance.

6. The computer-implemented method of claim 5, wherein the notification regarding the update includes information regarding a cost associated with the update and information regarding a change in at least one cost associated with an insurance policy associated with the autonomous or semi-autonomous vehicle.

7. The computer-implemented method of claim 2, wherein the indication of the update associated with the autonomous operation feature includes a request to provide the update to the autonomous or semi-autonomous vehicle.

8. The computer-implemented method of claim 2, wherein the update comprises an update to a version of software associated with the autonomous operation feature.

9. The computer-implemented method of claim 2, further including:

determining, by one or more processors, that the update has been installed within the autonomous or semi-autonomous vehicle; and

adjusting, by one or more processors, an insurance policy associated with the autonomous or semi-autonomous vehicle once the update is determined to have been installed.

10. A computer system for updating an autonomous operation feature, comprising:

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;

receive an indication of an update associated with the autonomous operation feature;

identify an autonomous or semi-autonomous vehicle having the autonomous operation feature;

collect operating data for the autonomous or semi-autonomous vehicle during the operation of the autonomous or semi-autonomous vehicle by electronic communication with an on-board computer of the vehicle, wherein the operating data includes data regarding operation of the autonomous operation feature and environmental conditions during operation of the autonomous or semi-autonomous vehicle;

generate at least one risk level associated with the update to the autonomous operation feature based upon virtual or physical testing of the update associated with the autonomous operation feature; and

determine a weighted risk level for the autonomous or semi-autonomous vehicle, wherein the weighted risk level is determined based upon the at least one risk level and the operating data to facilitate installation of updates to autonomous operation features.

11. The computer system of claim 10, wherein the executable instructions, when executed by the one or more processors, further cause the computer system to:

determine a risk level change associated with installation of the update for the autonomous or semi-autonomous vehicle;

determine whether the risk level change meets one or more risk-related criteria for installing the update; and

cause the update to be installed within the autonomous or semi-autonomous vehicle when the risk level change meets the one or more risk-related criteria.

12. The computer system of claim 11, wherein the program memory further includes executable instructions that cause the computer system to:

determine a change in at least one cost associated with an insurance policy based upon the determined risk level change associated with the autonomous or semi-autonomous vehicle,

wherein the one or more risk-related criteria include a reduction in the at least one cost associated with the insurance policy of at least a threshold magnitude, which threshold magnitude is greater than or equal to zero.

13. The computer system of claim 10, wherein the indication of the update associated with the autonomous operation feature includes a request to provide the update to the autonomous or semi-autonomous vehicle having the autonomous operation feature.

14. The computer system of claim 10, wherein the update comprises an update to a version of software associated with the autonomous operation feature.

15. The computer system of claim 10, further including executable instructions that cause the computer system to:

determine that the update has been installed within the autonomous or semi-autonomous vehicle; and

adjust an insurance policy associated with the autonomous or semi-autonomous vehicle once the update is installed.

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

receive an indication of an update associated with the autonomous operation feature;

identify an autonomous or semi-autonomous vehicle having the autonomous operation feature;

collect operating data for the autonomous or semi-autonomous vehicle during the operation of the autonomous or semi-autonomous vehicle by electronic communication with an on-board computer of the vehicle, wherein the operating data includes data regarding operation of the autonomous operation feature and environmental conditions during operation of the autonomous or semi-autonomous vehicle;

generate at least one risk level associated with the update to the autonomous operation feature based upon virtual or physical testing of the update associated with the autonomous operation feature; and

determine a weighted risk level for the autonomous or semi-autonomous vehicle, wherein the weighted risk level is determined based upon the at least one risk level and the operating data to facilitate installation of updates to autonomous operation features.

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

determine a risk level change associated with installation of the update for the autonomous or semi-autonomous vehicle;

determine whether the risk level change meets one or more risk-related criteria for installing the update; and

cause the update to be installed within the autonomous or semi-autonomous vehicle when the risk level change meets the one or more risk-related criteria.

18. The tangible, non-transitory computer-readable medium of claim 17, further including executable instructions that cause the computer system to:

determine a change in at least one cost associated with an insurance policy based upon the determined risk level change associated with the autonomous or semi-autonomous vehicle,

wherein the one or more risk-related criteria include a reduction in the at least one cost associated with the insurance policy of at least a threshold magnitude, which threshold magnitude is greater than or equal to zero.

19. The tangible, non-transitory computer-readable medium of claim 16, wherein the update comprises an update to a version of software associated with the autonomous operation feature.

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

determine that the update has been installed within the autonomous or semi-autonomous vehicle; and

adjust an insurance policy associated with the autonomous or semi-autonomous vehicle after the update has been installed.