Managing vehicle driving control entity transitions of an autonomous vehicle based on an evaluation of performance criteria

US10268195B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10268195-B2
Application numberUS-201715399980-A
CountryUS
Kind codeB2
Filing dateJan 6, 2017
Priority dateJan 6, 2017
Publication dateApr 23, 2019
Grant dateApr 23, 2019

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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.

In an embodiment, a vehicle controller determines a predicted driving performance level of a vehicle driving control entity (VDCE) while the vehicle is controlled by a different VDCE. Driving control is transitioned to the VDCE, after which an actual driving performance level of the VDCE is monitored. The vehicle controller determines whether to transition driving control away from the VDCE based on the actual driving performance level. In another embodiment, after transition driving control to a VDCE, a period of heightened scrutiny used to evaluate the actual driving performance level of the VDCE specifically after the transition.

First claim

Opening claim text (preview).

What is claimed is: 1. A method of operating a vehicle controller configured to selectively handoff control of a vehicle configured for autonomous operation between different vehicle driving control entities, comprising: determining a predicted driving performance level of a first vehicle driving control entity based on a first set of performance criteria while a vehicle is being controlled by a second vehicle driving control entity; transitioning driving control of the vehicle from the second vehicle driving control entity to the first vehicle driving control entity; determining an actual driving performance level of the first vehicle driving control entity based on a second set of performance criteria while the vehicle is being controlled by the first vehicle driving control entity; and determining whether to transition driving control of the vehicle from the first vehicle driving control entity to a vehicle driving control entity different than the first vehicle driving control entity based on the actual driving performance level of the first vehicle driving control entity, wherein the predicted driving performance level and/or the actual driving performance level are determined based at least in part upon sensor feedback from a first set of sensors in proximity to the vehicle and sensor feedback from a second set of sensors that is remote from the vehicle, wherein the second set of sensors is configured to monitor one or more remote vehicle driving control entities. 2. The method of claim 1 , wherein the second set of performance criteria is used to evaluate the actual driving performance level of the first vehicle driving control entity at a higher frequency than the first set of performance criteria is used to evaluate the predicted driving performance level of the first vehicle driving control entity prior to the transitioning. 3. The method of claim 1 , wherein the first and second sets of performance criteria are different. 4. The method of claim 1 , wherein the determining whether to transition driving control includes: determining one or more predicted driving performance levels of one or more available vehicle driving control entities other than the first vehicle driving control entity. 5. The method of claim 4 , wherein the determining whether to transition driving control further includes: determining that the actual driving performance level of the first vehicle driving control entity is below a performance threshold, and determining to transition driving control of the vehicle from the first vehicle driving control entity to a target vehicle driving control entity from the one or more available vehicle driving control entities with a predicted driving performance level that is higher than the performance threshold. 6. The method of claim 5 , wherein the target vehicle driving control entity has the highest predicted driving performance level among the one or more available vehicle driving control entities. 7. The method of claim 1 , wherein the first set of sensors includes a set of sensors physically integrated to or mounted upon the vehicle, a set of wearable sensors attached to a human driver in the vehicle, or a combination thereof. 8. A method of operating a vehicle controller configured to selectively handoff control of a vehicle configured for autonomous operation between different vehicle driving control entities, comprising: transitioning control of a vehicle from a first vehicle driving control entity to a second vehicle driving control entity, wherein the second vehicle driving control entity corresponds to an in-vehicle electronic control unit (ECU), a local user equipment (UE), or a remote vehicle driving control entity; initiating, in response to the transitioning, a temporary period of heightened scrutiny relative to a default scrutiny level during which an actual driving performance level of the second vehicle driving control entity is evaluated based on a first set of performance criteria; and determining whether to transition driving control of the vehicle from the second vehicle driving control entity to a vehicle driving control entity different than the second vehicle driving control entity based on the actual driving performance level of the second vehicle driving control entity. 9. The method of claim 8 , wherein the determining determines to maintain driving control of the vehicle with the second vehicle driving control entity. 10. The method of claim 9 , further comprising: after the temporary period of heightened scrutiny has elapsed, continuing to evaluate the actual driving performance level of the second vehicle driving control entity at the default scrutiny level based on a second set of performance criteria. 11. The method of claim 10 , wherein the first set of performance criteria is used to evaluate the actual driving performance level of the second vehicle driving control entity at a higher frequency during the temporary period of heightened scrutiny than the second set of performance criteria is used to evaluate the actual driving performance level of the second vehicle driving control entity after the temporary period of heightened scrutiny has elapsed. 12. The method of claim 10 , wherein the first and second sets of performance criteria are the same. 13. The method of claim 10 , wherein the first and second sets of performance criteria are different. 14. The method of claim 8 , wherein the determining whether to transition driving control includes: determining one or more predicted driving performance levels of one or more available vehicle driving control entities other than the second vehicle driving control entity. 15. The method of claim 14 , wherein the determining whether to transition driving control further includes: determining that the actual driving performance level of the second vehicle driving control entity is below a performance threshold, and determining to transition driving control of the vehicle from the second vehicle driving control entity to a target vehicle driving control entity from the one or more available vehicle driving control entities with a predicted driving performance level that is higher than the performance threshold. 16. The method of claim 15 , wherein the target vehicle driving control entity has the highest predicted driving performance level among the one or more available vehicle driving control entities. 17. The method of claim 8 , wherein the actual driving performance level is determined based at least in part upon sensor feedback from a first set of sensors in proximity to the vehicle. 18. The method of claim 17 , wherein the first set of sensors includes a set of sensors physically integrated to or mounted upon the vehicle, a set of wearable sensors attached to a human driver in the vehicle, or a combination thereof. 19. The method of claim 17 , wherein the actual driving performance level is determined based at least in part upon sensor feedback from a second set of sensors that is remote from the vehicle. 20. The method of claim 19 , wherein the second set of sensors is configured to monitor one or more remote vehicle driving control entities. 21. A vehicle controller configured to selectively handoff control of a vehicle configured for autonomous operation between different vehicle driving control entities, comprising: at least one processor coupled to a memory and configured to: determine a predicted driving performance level of a first vehicle driving control entity based on a fi

Assignees

Inventors

Classifications

  • Estimation of the risk associated with autonomous or manual driving, e.g. situation too complex, sensor failure or driver incapacity · CPC title

  • Handover processes (Handing over between remote control and on-board control or handing over between remote control arrangements G05D1/227) · CPC title

  • in which a variable is automatically adjusted to optimise the performance · CPC title

  • Driving style or behaviour · CPC title

  • Means for informing the driver, warning the driver or prompting a driver intervention · CPC title

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What does patent US10268195B2 cover?
In an embodiment, a vehicle controller determines a predicted driving performance level of a vehicle driving control entity (VDCE) while the vehicle is controlled by a different VDCE. Driving control is transitioned to the VDCE, after which an actual driving performance level of the VDCE is monitored. The vehicle controller determines whether to transition driving control away from the VDCE bas…
Who is the assignee on this patent?
Qualcomm Inc
What technology area does this patent fall under?
Primary CPC classification B60W60/0059. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Apr 23 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).