Rendering of a local assistance request

• US 9,600,943 B2
• Filed: 07/28/2015
• Issued: 03/21/2017
• Est. Priority Date: 07/28/2015
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Stenneth, Leon Oliver
• Primary Examiner(s): Kan, Yuri
• Application Number:
  US14/811,731
• Publication Number:
  US 20170032585A1
• Time in Patent Office: 602 Days
• Field of Search: 701/2, 701/23, 705/44, 340/439
• US Class Current: 1/1
• CPC Class Codes: G05D 1/021 specially adapted to land vehicles
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

A method comprising receiving map data that is associated with a location of an autonomous vehicle, determining an operational state of the autonomous vehicle, determining that the map data and the operational state satisfy a local assistance request criteria, and causing rendering of a local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the local assistance request criteria is disclosed.

Claims

1. An apparatus, comprising:

at least one processor;

at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to at least;

receive map data that is associated with a location of an autonomous vehicle;

determine an operational state of the autonomous vehicle;

determine whether to request local assistance based on whether the map data and the operational state satisfy one or more local assistance request criteria; and

generate a local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria.

2. The apparatus of claim 1, wherein the memory includes computer program code configured to, working with the processor, cause the apparatus to transmit a non-local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria, the non-local assistance request being solicitation for assistance by a non-local responder.

3. The apparatus of claim 2, wherein the memory includes computer program code configured to, working with the processor, cause the apparatus to:

determine a duration until arrival of the non-local responder; and

determine that the duration is beyond a duration threshold, wherein the generating the local assistance request is based, at least in part, on the determination that the duration is beyond the duration threshold.

4. The apparatus of claim 1, wherein the memory includes computer program code configured to, working with the processor, cause the apparatus to:

determine that local assistance has been performed by a local responder; and

cause compensation to be distributed to at least one party associated with the local responder.

5. The apparatus of claim 1, wherein the operational state is a mobility impaired state, and the determination that the map data and the operational state satisfy the one or more local assistance request criteria comprises determination based, at least in part, on the map data and the determination that the autonomous vehicle is in the mobility impaired state, that the autonomous vehicle is located in a dangerous location, wherein the determination that the map data and the operational state satisfy the one or more local assistance request criteria is based, at least in part, on the determination that the autonomous vehicle is located in the dangerous location.

6. The apparatus of claim 1, wherein determination of the operational state comprises:

receipt of sensor information from at least one sensor; and

determination that the sensor information is indicative of the operational state.

7. The apparatus of claim 6, wherein the determination that the sensor information is indicative of the operational state comprises:

determination that the operational state is undesirable;

determination of an autonomous remedial action for the operational state; and

determination based, at least in part, on the map data, that the autonomous remedial action is beyond a safety threshold.

8. The apparatus of claim 1, wherein the apparatus comprises the autonomous vehicle.

19. The apparatus of claim 1, wherein the map data comprises at least one of road segment data, point of interest data, node data, perspective image data, video content data, cartographic data, routing data, maneuver data, traffic information, or weather information.

9. A method comprising:

receiving map data that is associated with a location of an autonomous vehicle;

receiving sensor information from at least one sensor of the autonomous vehicle;

determining an operational state of the autonomous vehicle based on the sensor information;

determining that the map data and the operational state satisfy one or more local assistance request criteria; and

rendering of a local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria.

10. The method of claim 9, further comprising transmitting a non-local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria, the non-local assistance request being solicitation for assistance by a non-local responder.

11. The method of claim 10, further comprising:

determining a duration until arrival of the non-local responder; and

determining that the duration is beyond a duration threshold, wherein the rendering of the local assistance request is based, at least in part, on the determination that the duration is beyond the duration threshold.

12. The method of claim 9, further comprising:

determining that local assistance has been performed by a local responder; and

causing compensation to be distributed to at least one party associated with the local responder.

13. The method of claim 9, wherein the operational state is a mobility impaired state, and the determination that the map data and the operational state satisfy the one or more local assistance request criteria comprises determination based, at least in part, on the map data and the determination that the autonomous vehicle is in the mobility impaired state, that the autonomous vehicle is located in a dangerous location, wherein the determination that the map data and the operational state satisfy the one or more local assistance request criteria is based, at least in part, on the determination that the autonomous vehicle is located in the dangerous location.

14. The method of claim 9, wherein the determination that the operational state of the autonomous vehicle is based on the sensor information comprises:

determining that the operational state is undesirable;

determining of an autonomous remedial action for the operational state; and

determining based, at least in part, on the map data, that the autonomous remedial action is beyond a safety threshold.

20. The method of claim 9, wherein the map data comprises at least one of road segment data, point of interest data, node data, perspective image data, video content data, cartographic data, routing data, maneuver data, traffic information, or weather information.

15. At least one non-transitory computer-readable medium encoded with instructions that, when executed by a processor:

receive map data that is associated with a location of an autonomous vehicle;

determine an operational state of the autonomous vehicle;

determine that the map data and the operational state satisfy one or more local assistance request criteria;

cause rendering of a local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria;

determine that local assistance has been performed by a local responder; and

cause compensation to be distributed to at least one party associated with the local responder.

16. The medium of claim 15, further encoded with instructions that, when executed by a processor transmit a non-local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria, the non-local assistance request being solicitation for assistance by a non-local responder.

17. The medium of claim 16, further encoded with instructions that, when executed by a processor:

determine a duration until arrival of the non-local responder; and

determine that the duration is beyond a duration threshold, wherein the causation of rendering of the local assistance request is based, at least in part, on the determination that the duration is beyond the duration threshold.

21. The medium of claim 15, wherein the map data comprises at least one of road segment data, point of interest data, node data, perspective image data, video content data, cartographic data, routing data, maneuver data, traffic information, or weather information.

18. An apparatus, comprising:

at least one processor;

at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to at least;

receive map data that is associated with a location of an autonomous vehicle;

receive sensor information from at least one sensor indicative of at least one aspect of an operation of the autonomous vehicle;

determine an operational state of the autonomous vehicle based on the sensor information;

determine that the operational state is undesirable;

determine an autonomous remedial action for the operational state;

determine that the autonomous remedial action is beyond a safety threshold based, at least in part, on the map data;

determine that the map data and the operational state satisfy one or more local assistance request criteria; and

generate a local assistance request based, at least in part, on the determination that the map data and the operational state satisfy the one or more local assistance request criteria.

22. The apparatus of claim 18, wherein the map data comprises at least one of road segment data, point of interest data, node data, perspective image data, video content data, cartographic data, routing data, maneuver data, traffic information, or weather information.