Personalized Driving of Autonomously Driven Vehicles

• US 20160026182A1
• Filed: 07/25/2014
• Published: 01/28/2016
• Est. Priority Date: 07/25/2014
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Boroditsky, Vladimir, Stenneth, Leon Oliver, Fowe, James Adeyemi, Giurgiu, Gavril Adrian
• Granted Patent: US 9,766,625 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60K 31/00 Vehicle fittings, acting on a single sub-unit only, for automatically controlling vehicle speed, i.e. preventing speed from exceeding an arbitrarily established velocity or maintaining speed at a particular velocity, as selected by the vehicle operator fittings acting on two or more sub-units B60W30/14; speedometers G01P; systems or devices for controlling speed in general G05D13/00 ; in traffic anti-collision system for road vehicles G08G1/16
• CPC Class Codes: B60W 2540/043 Identity of occupants
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 2552/05 Type of road, e.g. motorways, local streets, paved or unpaved roads
• CPC Class Codes: B60W 2554/406 Traffic density
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 60/0013 specially adapted for occupant comfort
• CPC Class Codes: G05D 1/0221 involving a learning process
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0145 for active traffic flow control
• CPC Class Codes: G08G 1/22 Platooning, i.e. convoy of communicating vehicles
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Methods for personalized driving of autonomously driven vehicles include: (a) downloading at least a portion of a driving profile to a vehicle, wherein the vehicle is configured for autonomous driving and wherein the driving profile is associated with a specific driver; and (b) executing one or a plurality of operating instructions prescribed by the driving profile, such that the vehicle is operable in a driving style imitative of the specific driver. Apparatuses for personalized driving of autonomously driven vehicles are described.

Claims

1. A method comprising:

downloading, by a processor, at least a portion of a driving profile to a vehicle, wherein the vehicle is configured for autonomous driving and wherein the driving profile is associated with a specific driver; and

executing, by the processor, one or a plurality of operating instructions prescribed by the driving profile, such that the vehicle is operable in a driving style imitative of the specific driver.

2. The method of claim 1 wherein the driving profile is stored in one or a plurality of remote servers.

3. The method of claim 2 wherein the downloaded portion of the driving profile represents less than an entirety of the driving profile stored in the one or the plurality of remote servers.

4. The method of claim 3 wherein the downloaded portion is constrained by a variable related to the vehicle and/or an environment of the vehicle.

5. The method of claim 4 wherein the variable is selected from the group consisting of a geographical location, a type of road, a type of terrain, a type of weather, a type of season, a time of day, a degree of visibility, a volume of traffic, a priority of travel purpose, and combinations thereof.

6. The method of claim 4 further comprising refreshing, by the processor, a content of the downloaded portion based on a spatial and/or a temporal change.

7. The method of claim 2 wherein the driving profile stored in the one or the plurality of remote servers is downloaded to the vehicle substantially in its entirety.

8. The method of claim 1 further comprising receiving, by the processor, identification information for the specific driver, whereby the driving profile associated with the specific driver is determinable.

9. The method of claim 1 wherein the driving profile represents only one of a plurality of stored driving profiles associated with the specific driver.

10. The method of claim 9 further comprising selecting, by the processor, which of the plurality of stored driving profiles to access.

11. The method of claim 1 further comprising determining, by the processor, whether a driving profile exists for the specific driver.

12. The method of claim 1 wherein the vehicle comprises a plurality of vehicles, wherein each of the plurality of vehicles is configured for autonomous driving, wherein each of the plurality of vehicles is operable in the style imitative of the driving style of the specific driver, and wherein the plurality of vehicles is configured to participate in a platooning trip.

13. The method of claim 1 wherein the driving profile represents a generic profile, wherein the generic profile is associated with a specific driving category, and wherein the method further comprises matching, by the processor, the specific driver to the specific driving category.

14. The method of claim 1 further comprising modifying, by the processor, the driving profile.

15. The method of claim 1 further comprising deleting, by the processor, the driving profile.

16. The method of claim 1 further comprising constructing, by the processor, the driving profile if a determination is made that the driving profile does not already exist.

17. The method of claim 1 further comprising:

acquiring, by the processor, telematics sensor data from one or a plurality of telematics sensors onboard the vehicle;

accessing, by the processor, real world reference data;

acquiring, by the processor, real time environmental data corresponding to a status of an environment of the vehicle; and

modeling, by the processor, the driving profile based on at least a portion of the telematics sensor data, at least a portion of the real world reference data, and at least a portion of the real time environmental data.

18. 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;

download at least a portion of a driving profile to a vehicle, wherein the vehicle is configured for autonomous driving and wherein the driving profile is associated with a specific driver; and

execute one or a plurality of operating instructions prescribed by the driving profile, such that the vehicle is operable in a driving style imitative of the specific driver.

19. The apparatus of claim 18 wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus to perform at least the following:

acquire telematics sensor data from one or a plurality of telematics sensors onboard the vehicle;

access real world reference data;

acquire real time environmental data corresponding to a status of an environment of the vehicle; and

model the driving profile based on at least a portion of the telematics sensor data, at least a portion of the real world reference data, and at least a portion of the real time environmental data.

20. A non-transitory computer-readable storage medium having stored therein data representing instructions executable by a programmed processor, the storage medium comprising instructions for:

downloading at least a portion of a driving profile to a vehicle, wherein the vehicle is configured for autonomous driving and wherein the driving profile is associated with a specific driver; and

executing one or a plurality of operating instructions prescribed by the driving profile, such that the vehicle is operable in a driving style imitative of the specific driver.