Highly assisted driving platform

• US 10,334,049 B2
• Filed: 03/16/2017
• Issued: 06/25/2019
• Est. Priority Date: 07/23/2014
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Stenneth, Leon Oliver, Boroditsky, Vladimir, Modica, Leo, Giurgiu, Gavril Adrian, Fowe, James Adeyemi
• Primary Examiner(s): Dager, Jonathan M
• Application Number:
  US15/460,693
• Publication Number:
  US 20170208128A1
• Time in Patent Office: 831 Days
• Field of Search: None
• CPC Class Codes: B60Q 9/008 for anti-collision purposes
• CPC Class Codes: B60W 2556/55 using telemetry
• CPC Class Codes: B60W 2756/10 Involving external transmission of data to or from the vehicle
• CPC Class Codes: B60W 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: B60W 30/143 Speed control B60W30/16 takes precedence
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/0145 for active traffic flow control
• CPC Class Codes: G08G 1/096725 where the received information generates an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096758 where no selection takes place on the transmitted or the received information
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/167 Driving aids for lane monitoring, lane changing, e.g. blind spot detection
• CPC Class Codes: H04L 67/01 Protocols
• 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

Abstract

Methods for providing a highly assisted driving (HAD) service include: (a) transmitting telematics sensor data from a vehicle to a remote first server; (b) transmitting at least a portion of the telematics sensor data from the remote first server to a remote second server, wherein the remote second server is configured to execute a HAD application using received telematics sensor data, and wherein the HAD application is configured to output a HAD service result; and (c) transmitting the HAD service result from the remote second server to a client. Apparatuses for providing a HAD service are described.

Claims

1. A method comprising:

receiving telematics sensor data at a vehicle data collector;

initiating a transmission of the telematics sensor data to a cloud server;

determining whether the transmission of the telematics sensor data to the cloud server meets a predetermined latency threshold; and

instructing the cloud server, in response to the transmission meeting the predetermined latency threshold, to execute a driving application for an autonomous driving command.

2. The method of claim 1, further comprising:

anonymizing the telematics sensor data before the transmission.

3. The method of claim 1, wherein a first vehicle comprises the vehicle data collector, and wherein the autonomous driving command is associated with a second vehicle.

4. The method of claim 1, further comprising:

collecting the telematics sensor data at one or more sensors.

5. The method of claim 4, wherein the one or more sensors include differential global positioning system (GPS), windshield wiping sensors, laser sensors, light sensors, camera sensors, microphone sensors, shift sensors, pedal sensors, lever sensors, brake sensors, speed sensors, acceleration sensors, headlamp sensors, steering wheel sensors, or a combination thereof.

6. The method of claim 1, further comprising:

compressing the telematics sensor data before the transmission.

7. The method of claim 1, further comprising:

enveloping the telematics sensor data to a predetermined format before the transmission.

8. The method of claim 1, wherein the predetermined latency threshold is assigned to the driving application.

9. The method of claim 1, wherein the cloud server includes a plurality of analysis loops for the telematics sensor data.

10. The method of claim 9, wherein at least one analysis loop corresponds to real world reference data from a three dimensional map.

11. The method of claim 9, wherein at least one analysis loop corresponds to real time environmental data indicative of a status of an environment of the vehicle.

12. The method of claim 9, wherein at least one analysis loop corresponds to personalized driving.

19. The method of claim 1, wherein the cloud server executes a plurality of analysis loops for the telematics sensor data, the plurality of analysis loops including a first analysis loop corresponds to real world reference data from a three dimensional map, a second analysis loop corresponds to real time environmental data indicative of a status of an environment of the vehicle, and a third analysis loop corresponds to personalized driving.

13. 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 to perform at least the following;

receiving telematics sensor data at a vehicle data collector;

initiating a transmission of the telematics sensor data to a cloud server;

determining whether the transmission of the telematics sensor data to the cloud server meets a predetermined latency threshold; and

instructing the cloud server, in response to the transmission meeting the predetermined latency threshold, to execute a driving application for an autonomous driving command.

14. The apparatus of claim 13, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform:

anonymizing the telematics sensor data before the transmission.

15. The apparatus of claim 13, wherein a first vehicle comprises the vehicle data collector, and wherein the autonomous driving command is associated with a second vehicle.

16. The apparatus of claim 13, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform:

compressing the telematics sensor data before the transmission.

17. The apparatus of claim 13, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform:

enveloping the telematics sensor data to a predetermined format before the transmission.

18. The apparatus of claim 13, wherein the predetermined latency threshold is assigned to the driving application.

20. A non-transitory computer readable medium including instructions that when executed cause a processor to perform:

process telematics sensor data;

initiating a transmission of the telematics sensor data to a cloud server;

determining whether the transmission of the telematics sensor data to the cloud server meets a predetermined latency threshold; and

instructing the cloud server, in response to the transmission meeting the predetermined latency threshold, to execute a driving application for an autonomous driving command.