Vehicle management system

US9811086B1 · US · B1

Patent metadata
FieldValue
Publication numberUS-9811086-B1
Application numberUS-201615379407-A
CountryUS
Kind codeB1
Filing dateDec 14, 2016
Priority dateDec 14, 2016
Publication dateNov 7, 2017
Grant dateNov 7, 2017

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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.

Systems, methods, and vehicles for taking a vehicle out-of-service are provided. In one example embodiment, a method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data indicative of one or more parameters associated with the autonomous vehicle. The autonomous vehicle is configured to provide a vehicle service to one or more users of the vehicle service. The method includes determining, by the computing devices, an existence of a fault associated with the autonomous vehicle based at least in part on the one or more parameters associated with the autonomous vehicle. The method includes determining, by the computing devices, one or more actions to be performed by the autonomous vehicle based at least in part on the existence of the fault. The method includes performing, by the computing devices, one or more of the actions to take the autonomous vehicle out-of-service based at least in part on the fault.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method of taking a vehicle out-of-service, comprising: obtaining, by one or more computing devices on-board an autonomous vehicle, data indicative of one or more parameters associated with the autonomous vehicle, wherein the autonomous vehicle is configured to provide a vehicle service to one or more users of the vehicle service; determining, by the one or more computing devices, an existence of a fault associated with the autonomous vehicle based at least in pan on the one or more parameters associated with the autonomous vehicle; determining, by the one or more computing devices, one or more actions to be performed by the autonomous vehicle based at least in part on the existence of the fault; and performing, by the one or more computing devices, one or more of the actions to take the autonomous vehicle out-of-service based at least in pan on the fault, wherein at least one of the actions comprises adjusting a status associated with the autonomous vehicle based at least in part on the fault such that the autonomous vehicle is unavailable to provide the vehicle service. 2. The computer-implemented method of claim 1 , wherein the status indicates whether the autonomous vehicle is available or unavailable to provide the vehicle service, and wherein performing, by the one or more computing devices, one or more of the actions to take the vehicle out-of-service comprises: adjusting, by the one or more computing devices, the status associated with the autonomous vehicle to indicate that the autonomous vehicle is unavailable to provide the vehicle service. 3. The computer-implemented method of claim 2 , wherein adjusting, by the one or more computing devices, the status associated with the autonomous vehicle to indicate that the autonomous vehicle is not available to provide the vehicle service comprises: providing, by the one or more computing devices to one or more remote computing devices that are remote from the autonomous vehicle, data indicating that the autonomous vehicle is unavailable to provide the vehicle service. 4. The computer-implemented method of claim 3 , wherein performing, by the one or more computing devices, one or more of the actions to take the autonomous vehicle out-of-service based at least in part on the fault comprises removing, by the one or more computing devices, the autonomous vehicle from a service queue associated with the vehicle. 5. The computer-implemented method of claim 2 , wherein the autonomous vehicle does not accept requests for the vehicle service when the status associated with the vehicle indicates that the autonomous vehicle is unavailable to provide the vehicle service. 6. The computer-implemented method of claim 1 , wherein determining, by the one or more computing devices, the one or more actions comprises: determining, by the one or more computing devices, a level of severity of the fault based at least in part on one or more characteristics of the fault; determining, by the one or more computing devices, an operational state of the autonomous vehicle based at least in part on the level of severity of the fault, wherein the operational state, is indicative of whether the autonomous vehicle is in condition to provide the vehicle service; and determining, by the one or more computing devices, the one or more actions based at least in part on the operational state of the autonomous vehicle. 7. The computer-implemented method of claim 6 , wherein the operational state indicates that the autonomous vehicle is in condition to provide the vehicle service to one or more current users of the autonomous vehicle, and wherein the autonomous vehicle is configured to complete the vehicle service provided to the one or more current users before the autonomous vehicle is out-of-service. 8. The computer-implemented method of claim 6 , wherein the operational state indicates that the autonomous vehicle is not in condition to provide the vehicle service. 9. The computer-implemented method of claim 8 , wherein the autonomous vehicle is configured to cease providing the vehicle service to one or more current users. 10. The computer-implemented method of claim 1 , wherein at least one of the actions comprises travelling to and arriving at a maintenance location, and wherein the method further comprises: providing, by the one or more computing devices, one or more control command signals to one or more systems on-board the autonomous vehicle to cause the autonomous vehicle to travel to and arrive at the maintenance location. 11. The computer-implemented method of claim 10 , wherein determining, by the one or more computing devices, the existence of the fault associated with the autonomous vehicle based at least in pan on the one or more parameters associated with the autonomous vehicle comprises: comparing, by the one or more computing devices, at least one of the parameters associated with the autonomous vehicle to a threshold. 12. The computer-implemented method of claim 11 , further comprising: obtaining, by the one or more computing devices, data indicative of the maintenance location, wherein the data indicative of the maintenance location is indicative of at least a geographic location of the maintenance location; determining, by the one or more computing devices, a travel route to the maintenance location based at least in pan on the geographic location of the maintenance location; obtaining, by the one or more computing devices, data indicative of one or more travel factors associated with the travel route; and determining, by the one or more computing devices, the threshold based at least in pan on the travel route and the one or more navel factors, wherein the threshold is indicative of a requisite level of the at least one parameter required for the autonomous vehicle to traverse the travel route and to arrive at the geographic location of the maintenance location. 13. A computing system for taking a vehicle out-of-service, the system comprising: one or more processors on-board an autonomous vehicle; and one or more memory devices on-board the autonomous vehicle, the one or more memory devices storing instructions that when executed by the one or more processors cause the one or more processors to perform operations, the operations comprising: obtaining data indicative of one or more parameters associated with the autonomous vehicle, wherein the autonomous vehicle is configured to provide a vehicle service to one or more users of the vehicle service, and wherein the autonomous vehicle is associated with a status that indicates whether the autonomous vehicle is available or unavailable to provide the vehicle service; determining an existence of a fault associated with the autonomous vehicle based at least in part on a comparison of the one or more parameters associated with the autonomous vehicle to one or more thresholds; determining one or more actions to be performed by the autonomous vehicle based at least in part on the existence of the fault, wherein at, least one of the actions comprises adjusting the status associated with the autonomous vehicle; and adjusting the status associated with the autonomous vehicle to indicate that the autonomous vehicle is unavailable to provide the vehicle service based at least in part on the fault. 14. The computing system of claim 13 , wherein adjusting the status associated with the autonomous vehicle to indicate that the autonomous vehicle is unavailable to provide the vehicle service comprises: providing to one or more remote computing devices that are remote from the autonomous vehicle, data indica

Assignees

Inventors

Classifications

  • using optical means · CPC title

  • Resource planning, allocation, distributing or scheduling for enterprises or organisations · CPC title

  • communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

  • Administration of product repair or maintenance · CPC title

  • G07C5/0808Primary

    Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title

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Frequently asked questions

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What does patent US9811086B1 cover?
Systems, methods, and vehicles for taking a vehicle out-of-service are provided. In one example embodiment, a method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data indicative of one or more parameters associated with the autonomous vehicle. The autonomous vehicle is configured to provide a vehicle service to one or more users of the vehicle service. Th…
Who is the assignee on this patent?
Uber Technologies Inc
What technology area does this patent fall under?
Primary CPC classification G07C5/0808. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 07 2017 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 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).