Method and apparatus for providing selection and prioritization of sensor data

• US 10,003,665 B2
• Filed: 07/17/2017
• Issued: 06/19/2018
• Est. Priority Date: 02/25/2014
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Stenneth, Leon
• Primary Examiner(s): Algibhah, Hamza N
• Application Number:
  US15/651,682
• Publication Number:
  US 20170318117A1
• Time in Patent Office: 337 Days
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching
• CPC Class Codes: H04L 67/61 taking into account QoS or priority requirements
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

An approach is provided for processing and transmitting sensor data in a bandwidth efficient manner. The approach involves causing, at least in part, a specification of one or more prioritization attributes for one or more sensors associated with at least one transmitting entity. The approach further involves processing and/or facilitating a processing of the one or more prioritization attributes to determine whether to cause, at least in part, (a) a transmission of sensor data associated with the one or more sensors to at least one receiving entity, (b) a caching of the sensor data prior to a batch transmission of the sensor data to the at least one receiving entity, or (c) a combination thereof.

Claims

1. A method comprising:

receiving, by an apparatus associated with a receiving entity via a network, telematics sensor data from telematics sensors of a plurality of autonomous vehicles;

determining, by the apparatus, current locations and future locations of the autonomous vehicles in a grip map based on the telematics sensor data;

determining, by the apparatus, one or more data requests specifying different data cacheability indicators per sensor for one or more of the telematics sensors of the autonomous vehicles located within one or more bounded geographic areas in the grip map based, at least in part, on whether currently available telematics sensor data meet one or more data requirements associated with the current locations and the future locations;

transmitting, by the apparatus, the one or more data requests to the one or more of the autonomous vehicles; and

in response to the one or more data requests, receiving, by the apparatus, additional telematics sensor data for assisted driving of one or more of the autonomous vehicles in the one or more bounded geographic areas.

2. The method of claim 1, wherein the data cacheability indicators are determined based on respective telematics sensor data relevancy to driving safety of one or more of the autonomous vehicles in the one or more bounded geographic areas.

3. The method of claim 2, wherein the telematics sensor data are non-cacheable in the autonomous vehicles and received in real time by the apparatus, and the method further comprising:

receiving cacheable telematics sensor data from the telematics sensors of the autonomous vehicles in batch at a predetermined frequency.

4. The method of claim 3, further comprising:

determining that there is sufficient telematics sensor data available for one of the bounded geographic areas; and

informing the vehicles not to transmit the non-cacheable telematics sensor data, the cacheable telematics sensor data, or a combination thereof.

5. The method of claim 3, wherein the predetermined frequency is determined based, at least in part, on a polling frequency, a maximum cache duration, an acceptable deviation criterion, or a combination thereof, per sensor stored in a table for the telematics sensors.

6. The method of claim 1, wherein the apparatus is embedded one of the vehicles on in one mobile device located in the one vehicle, and the vehicles operate in a non-cloud peer-based architecture.

7. The method of claim 1, wherein the apparatus is embedded in a cloud node, and the vehicles operate in a cloud-based architecture.

8. The method of claim 1, further comprising:

determining that there is no or not sufficient telematics sensor data available for one of the bounded geographic areas; and

extrapolating telematics sensor data from one or more neighboring bounded geographic areas by averaging the extrapolated telematics sensor data to meet the one or more data requirements.

9. The method of claim 8, wherein the one bounded geographic area is a street intersection region.

10. The method of claim 8, further comprising:

processing contextual data to select the one or more neighboring bounded geographic areas for performing the extrapolation.

11. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus associated with a receiving entity to perform at least the following,

receive, via a network, telematics sensor data from telematics sensors of a plurality of autonomous vehicles;

determine current locations and future locations of the autonomous vehicles in a grip map based on the telematics sensor data;

determine one or more data requests specifying different data cacheability indicators per sensor for one or more of the telematics sensors of the autonomous vehicles located within one or more bounded geographic areas in the grip map based, at least in part, on whether currently available telematics sensor data meet one or more data requirements associated with the current locations and the future locations;

transmit the one or more data requests to the one or more of the autonomous vehicles; and

in response to the one or more data requests, receive additional telematics sensor data for assisted driving of one or more of the autonomous vehicles in the one or more bounded geographic areas.

12. The apparatus of claim 11, wherein the data cacheability indicators are determined based on respective telematics sensor data relevancy to driving safety of one or more of the autonomous vehicles in the one or more bounded geographic areas.

13. The apparatus of claim 12, wherein the telematics sensor data are non-cacheable in the autonomous vehicles and received in real time by the apparatus, and the apparatus is further caused to:

receive cacheable telematics sensor data from the telematics sensors of the autonomous vehicles in batch at a predetermined frequency.

14. The apparatus of claim 13, wherein the apparatus is further caused to:

determine that there is sufficient telematics sensor data available for one of the bounded geographic areas; and

inform the vehicles not to transmit the non-cacheable telematics sensor data, the cacheable telematics sensor data, or a combination thereof.

15. The apparatus of claim 13, wherein the predetermined frequency is determined based, at least in part, on a polling frequency, a maximum cache duration, an acceptable deviation criterion, or a combination thereof, per sensor stored in a table for the telematics sensors.

16. The apparatus of claim 11, wherein the apparatus is embedded one of the vehicles on in one mobile device located in the one vehicle, and the vehicles operate in a non-cloud peer-based architecture.

17. The apparatus of claim 11, wherein the apparatus is embedded in a cloud node, and the vehicles operate in a cloud-based architecture.

18. The apparatus of claim 11, wherein the apparatus is further caused to:

determine that there is no or not sufficient telematics sensor data available for one of the bounded geographic areas; and

extrapolate telematics sensor data from one or more neighboring bounded geographic areas by averaging the extrapolated telematics sensor data to meet the one or more data requirements.

19. The apparatus of claim 18, wherein the one bounded geographic area is a street intersection region.

20. The apparatus of claim 18, wherein the apparatus is further caused to:

process contextual data to select the one or more neighboring bounded geographic areas for performing the extrapolation.