Autonomous vehicle component malfunction impact assessment
Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. A risk of malfunction and/or cyber-attack may be determined by collecting operating data from a plurality of autonomous vehicles and/or smart homes. The operating data may be analyzed to identify occurrences of a component malfunctioning. For each component, a risk associated with malfunctioning and/or cyber-attack may be determined based upon the identified occurrences. Based on the risks, at least one result associated with the malfunction and/or cyber-attack may be determined. A component profile may be generated based upon the determined risk and/or the impact of the determined results.
1. A computer-implemented method for assessing a component configured for use in autonomous vehicles, comprising:
collecting, by one or more processors, operating information from a plurality of autonomous vehicles each having a plurality of components, wherein each vehicle of the plurality of autonomous vehicles includes at least one instance of the component to be assessed;
identifying, by one or more processors, occurrences of the component malfunctioning in the operating information;
determining, by one or more processors, at least one risk of malfunction associated with the component based upon the identified occurrences of the component malfunctioning;
determining, by one or more processors, at least one result of each identified occurrence of the component malfunctioning, each result indicating an impact of the occurrence of the component malfunctioning on at least one of the following: a risk of a vehicle collision or severity of a vehicle collision; and
generating, by one or more processors, a component profile for the component indicating one or more combinations of risk and impact associated with the component malfunctioning.
2. The computer-implemented method of claim 1 , wherein the component is a version of a software program.
3. The computer-implemented method of claim 1 , wherein the component is a type of sensor configured to provide sensor data for use in controlling autonomous vehicles.
4. The computer-implemented method of claim 1 , wherein the severity of the vehicle collision indicates at least one of damage associated with the vehicle collision, injuries associated with the vehicle collision, or costs associated with the vehicle collision.
5. The computer-implemented method of claim 1 , wherein the component profile includes one or more scores that each indicate an expected value of the impact of malfunctioning of the component.
6. The computer-implemented method of claim 1 , wherein the component profile indicates a plurality of combinations, each further associated with additional components configured to interact with the component within the plurality of autonomous vehicles.
7. The computer-implemented method of claim 1 , wherein the component profile indicates a plurality of combinations, each further associated with adjustable settings for at least one autonomous operation feature associated with the component.
8. The computer-implemented method of claim 1 , wherein the component profile indicates a plurality of combinations, each further associated with usage conditions of the plurality of autonomous vehicles.
9. The computer-implemented method of claim 1 , wherein the component profile further indicates an expected usable lifetime of the component, the expected usable lifetime being an estimate of time or distance before malfunction of the component.
10. The computer-implemented method of claim 1 , wherein the impact is further based upon one or more mitigating actions of an autonomous vehicle operating system taken in response to occurrences of the component malfunctioning.
11. The computer-implemented method of claim 10 , wherein the one or more mitigating actions are associated with software versions of the autonomous vehicle operating system.
12. The computer-implemented method of claim 10 , wherein the one or more mitigating actions include using data from a redundant component of the same type as the component when the component malfunctions.
13. The computer-implemented method of claim 1 , further comprising:
receiving information regarding a plurality of components of an autonomous vehicle; and
generating, by one or more processors, a risk profile for the autonomous vehicle based upon one or more component profile entries corresponding to the plurality of components.
14. The computer-implemented method of claim 13 , further comprising:
determining, by one or more processors, at least one of the plurality of components to be adjusted by repairing, replacing, updating, or upgrading the component;
generating, by one or more processors, a message recommending the at least one of the plurality of components be adjusted; and
communicating the message to at least one of an owner or an operator of the autonomous vehicle.
15. The computer-implemented method of claim 14 , wherein the message includes an indication of a reduction in risk or a reduction in a cost associated with an insurance policy associated with the recommended adjustment to the component.
16. The computer-implemented method of claim 1 , wherein the operating information includes operating data associated with the plurality of autonomous vehicles.
17. A computer system configured for use in autonomous vehicles, comprising:
one or more processors;
one or more transceivers adapted to communicate with autonomous vehicles; 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:
collect operating information from a plurality of autonomous vehicles each having a plurality of components via the one or more transceivers, wherein each vehicle of the plurality of autonomous vehicles includes at least one instance of the component to be assessed;
identify occurrences of the component malfunctioning in the operating information;
determine at least one risk of malfunction associated with the component based upon the identified occurrences of the component malfunctioning;
determine at least one result of each identified occurrence of the component malfunctioning, each result indicating an impact of the occurrence of the component malfunctioning on at least one of the following: a risk of a vehicle collision or severity of a vehicle collision; and
generate a component profile for the component indicating one or more combinations of risk and impact associated with the component malfunctioning.
18. The computer system of claim 17 , wherein the instructions, when executed by the one or more processors, further cause the computer system to:
receive information regarding a plurality of components of an autonomous vehicle; and
generate a risk profile for the autonomous vehicle based upon one or more component profile entries corresponding to the plurality of components.
19. The computer system of claim 17 , wherein the instructions, when executed by the one or more processors, further cause the computer system to:
determine at least one of the plurality of components to be adjusted by repairing, replacing, updating, or upgrading the component;
generate a message recommending the at least one of the plurality of components be adjusted; and
communicate the message to at least one of an owner or an operator of the autonomous vehicle.
20. A non-transitory computer-readable storage medium storing processor-executable instructions, that when executed cause one or more processors to:
collect operating information from a plurality of autonomous vehicles each having a plurality of components, wherein each vehicle of the plurality of autonomous vehicles includes at least one instance of the component to be assessed;
identify occurrences of the component malfunctioning in the operating information;
determine at least one risk of malfunction associated with the component based upon the identified occurrences of the component malfunctioning;
determine at least one result of each identified occurrence of the component malfunctioning, each result indicating an impact of the occurrence of the component malfunctioning on at least one of the following: a risk of a vehicle collision or severity of a vehicle collision; and
generate a component profile for the component indicating one or more combinations of risk and impact associated with the component malfunctioning.