AUTONOMOUS DRIVING STYLE LEARNING

• US 20150166069A1
• Filed: 12/18/2013
• Published: 06/18/2015
• Est. Priority Date: 12/18/2013
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Engelman, Gerald H., MILLER, ALEX MAURICE, PILUTTI, THOMAS EDWARD, RUPP, MATT Y., STEPHENSON, RICHARD LEE, TELLIS, LEVASSEUR, TROMBLEY, ROGER ARNOLD, WALDIS, ANDREW, ZWICKY, TIMOTHY D.
• Application Number:
  US14/133,284
• Publication Number:
  US 20150166069A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2540/043 Identity of occupants
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 30/12 Lane keeping
• CPC Class Codes: B60W 30/16 Control of distance between vehicles, e.g. keeping a distance to preceding vehicle
• CPC Class Codes: B60W 60/001 Planning or execution of driving tasks

Abstract

A vehicle includes at least one autonomous driving sensor configured to monitor at least one condition while the vehicle is operating in an autonomous mode. A processing device is configured to control at least one vehicle subsystem while the vehicle is operating in the autonomous mode. The processing device is configured to control the at least one vehicle subsystem according to a driver preference.

Claims

1. A vehicle comprising:

at least one autonomous driving sensor configured to monitor at least one condition while operating in an autonomous mode; and

a processing device configured to control at least one vehicle subsystem while operating in the autonomous mode,

wherein the processing device is programmed to learn at least one driver preference and associate at least one of the learned driver preferences to a predetermined scenario when the vehicle is operating in a non-autonomous mode, and,

while the vehicle is operating in the autonomous mode, the processing device is programmed to;

detect the predetermined scenario,

determine whether any of the at least one driver preferences is associated with the detected predetermined scenario,

select one of the at least one driver preference and a default profile control after detecting the predetermined scenario, and

apply one of the at least one driver preference and the default profile control to control the at least one vehicle subsystem.

5. The vehicle of claim 1, wherein the processing device is configured to select and apply the default profile control when no driver preference is associated with the detected predetermined scenario.

6. The vehicle of claim 1, wherein the condition monitored by the autonomous driving sensor includes at least one of a roadway condition, an environmental condition, and a traffic condition.

7. The vehicle of claim 1, wherein the processing device is configured to associate the at least one driver preference to at least one of a longitudinal profile control, a lateral profile control, and a route profile control.

8. The vehicle of claim 7, wherein the longitudinal profile control includes at least one of a speed profile control, a deceleration profile control, and an acceleration profile control.

9. The vehicle of claim 7, wherein the lateral profile control includes a steering profile control.

10. The vehicle of claim 7, wherein the route profile control includes a position profile control, a lane choice profile control, and a road choice profile control.

11. The vehicle of claim 10, wherein the position profile control is based at least in part on at least one driver preference associated with at least one of a position of the vehicle relative to a target vehicle and a position of the vehicle relative to a lane marker.

2. (canceled)

3. (canceled)

4. (canceled)

12. A method comprising:

learning at least one driver preference associated with operating a vehicle in a non-autonomous mode;

associating the at least one driver preference to a predetermined scenario while the vehicle is operating in the non-autonomous mode; and

while the vehicle is operating in an autonomous mode;

detecting the predetermined scenario,

determining whether at least one of the driver preferences is associated with the detected predetermined scenario,

selecting one of the at least one driver preference and a default profile control after detecting the predetermined scenario, and

controlling at least one vehicle subsystem according to one of the at least one driver preference and the default profile control.

13. The method of claim 12, further comprising applying the default profile control if no driver preference is associated with the detected predetermined scenario.

14. The method of claim 12, further comprising monitoring a condition while the vehicle is operating in the autonomous mode, wherein the condition includes at least one of a roadway condition, an environmental condition, and a traffic condition.

15. The method of claim 12, further comprising identifying a control type associated with the at least one driver preference, the control type including at least one of a longitudinal profile control, a lateral profile control, and a route profile control.

16. The method of claim 15, wherein the longitudinal profile control includes at least one of a speed profile control, a deceleration profile control, and an acceleration profile control.

17. The method of claim 15, wherein the lateral profile control includes a steering profile control.

18. The method of claim 15, wherein the route profile control includes a position profile control, a lane choice profile control, and a road choice profile control.

19. The method of claim 18, wherein the position profile control is based at least in part on a driver preference associated with at least one of a position of the vehicle relative to a target vehicle and a position of the vehicle relative to a lane marker.

20. A vehicle comprising:

at least one autonomous driving sensor configured to monitor at least one condition while operating in an autonomous mode; and

a processing device configured to learn at least one driver preference when the vehicle is operating in a non-autonomous mode and associate the at least one learned driver preference with a predetermined scenario,

wherein, when operating in the autonomous mode, the processing device is configured to;

detect the predetermined scenario,

determine whether any of the at least one driver preferences is associated with the detected predetermined scenario,

select one of the at least one driver preference and a default profile control after detecting the predetermined scenario, wherein the processing device is programmed to select the at least one driver preference if the at least one driver preference is associated with the detected predetermined scenario and wherein the processing device is programmed to select the default profile control if no driver preference is associated with the detected predetermined scenario, and

apply one of the selected learned driver preference and the selected default profile control.