Systems and methods for operating autonomous vehicles using personalized driving profiles

• US 10,449,957 B2
• Filed: 12/29/2015
• Issued: 10/22/2019
• Est. Priority Date: 12/29/2014
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Nagy, Akos, Becker, Jan, Rajaram, Shetty, Vetter, Jeorg, Kremer, Christian, Mamaeva, Tatiana, Gulati, Shilpa
• Primary Examiner(s): Brushaber, Frederick M
• Application Number:
  US15/540,380
• Publication Number:
  US 20170369052A1
• Time in Patent Office: 1,393 Days
• CPC Class Codes: B60K 2360/175 Autonomous driving
• CPC Class Codes: B60K 35/28 characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2540/043 Identity of occupants
• CPC Class Codes: B60W 2540/215 Selection or confirmation of options
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: B60W 30/14 Adaptive cruise control
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 50/08 Interaction between the driver and the control system
• CPC Class Codes: B60W 50/10 Interpretation of driver requests or demands
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G06N 20/10 using kernel methods, e.g. support vector machines [SVM]
• CPC Class Codes: G06N 3/08 Learning methods
• CPC Class Codes: G06N 3/126 Evolutionary algorithms, e.g. genetic algorithms or genetic programming
• CPC Class Codes: G06N 5/01 Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
• CPC Class Codes: G06N 5/025 Extracting rules from data
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

Systems and methods for controlling an autonomous vehicle. One method includes receiving, with an electronic processor of the autonomous vehicle, a profile selection. The method further includes receiving, with the electronic processor, a driver profile including a plurality of settings based on the profile selection. The method further includes, when the autonomous vehicle is operating in an autonomous driving mode, controlling, with the electronic processor, at least one vehicle control system of the autonomous vehicle based on at least one of the plurality of settings. The method further includes operating, with the electronic processor, the autonomous vehicle in a manual driving mode. The method further includes receiving, with the electronic processor, data from at least one sensor while the autonomous vehicle operates in the manual driving mode. The method further includes determining, with the electronic processor, a driving style based on the data and adjusting at least one of the plurality of settings based on the driving style.

Claims

1. A method for controlling an autonomous vehicle, the method comprising:

receiving, with an electronic processor of the autonomous vehicle, a profile selection;

receiving, with the electronic processor, a driver profile including a plurality of settings based on the profile selection; and

when the autonomous vehicle is operating in an autonomous driving mode, controlling, with the electronic processor, at least one vehicle control system of the autonomous vehicle based on at least one of the plurality of settings, wherein controlling the at least one vehicle control system of the autonomous vehicle based on at least one of the plurality of settings includes

controlling the autonomous vehicle to perform an autonomous maneuver based on the at least one of the plurality of settings;

prompting, with the electronic processor via a human machine interface of the autonomous vehicle, for a driver input in response to completion of the autonomous maneuver;

receiving, with the electronic processor via the human machine interface, at least one driver input after completion of the autonomous maneuver, wherein the at least one driver input includes one of a group consisting of an approval of the autonomous maneuver and a rejection of the autonomous maneuver; and

adjusting, with the electronic processor, the at least one of the plurality of settings based on the at least one driver input.

2. The method of claim 1, wherein receiving the profile selection includes receiving the profile selection from at least one of a group consisting of a human machine interface of the autonomous vehicle, a mobile electronic device, an electronic key, and a biometric identifier.

3. The method of claim 1, wherein receiving the driver profile includes receiving the driver profile from at least one of a group consisting of a memory of the autonomous vehicle, a mobile electronic device, and a profile server.

4. The method of claim 1, further comprising:

operating, with the electronic processor, the autonomous vehicle in a manual driving mode;

receiving, with the electronic processor, data from at least one sensor while the autonomous vehicle operates in the manual driving mode;

determining, with the electronic processor, a driving style based on the data; and

adjusting, with the electronic processor, at least one of the plurality of settings based on the driving style.

5. The method of claim 4, wherein determining the driving style includes determining the driving style using at least one machine learning engine.

6. The method of claim 1, further comprising:

when the autonomous vehicle is operating in an autonomous driving mode, receiving, with the electronic processor via a human machine interface of the autonomous vehicle, at least one driver input; and

adjusting, with the electronic processor, at least one of the plurality of settings based on the at least one driver input.

7. The method of claim 6, wherein receiving at least one driver input includes receiving at least one of a group consisting of a driver preference input, a driver feedback input, and a driver rating input.

8. The method of claim 1, further comprising:

determining, with the electronic processor, at least one external factor; and

when the autonomous vehicle is operating in an autonomous driving mode, controlling, with the electronic processor, the at least one vehicle control system based on at least one of the plurality of settings and the at least one external factor.

9. The method of claim 8, wherein determining at least one external factor includes determining at least one from a group consisting of a weather condition, a road condition, and a driver activity.

10. A system for controlling an autonomous vehicle, the system comprising:

at least one vehicle control system;

an electronic controller electrically coupled to the at least one vehicle control system, the electronic controller including an electronic processor; and

a human machine interface electrically coupled to the electronic processor,

wherein the electronic processor is configured to

receive a profile selection;

receive a driver profile including a plurality of settings based on the profile selection;

control the autonomous vehicle to perform an autonomous maneuver based on at least one of the plurality of settings;

prompt, via the human machine interface, for a driver input in response to the autonomous maneuver after the autonomous maneuver has been completed;

receive, via the human machine interface, at least one driver input, wherein the at least one driver input includes one of a group consisting of an approval of the autonomous maneuver and a rejection of the autonomous maneuver; and

adjust the at least one of the plurality of settings based on the at least one driver input.

11. The system of claim 10,

wherein the electronic processor is further configured to receive the profile selection from at least one of a group consisting of the human machine interface, a mobile electronic device, an electronic key, and a biometric identifier.

12. The system of claim 10, further comprising:

a memory electrically coupled to the electronic processor;

wherein the electronic processor is further configured to receive the driver profile from at least one of a group consisting of the memory, a mobile electronic device, and a profile server.

13. The system of claim 10, further comprising:

at least one sensor electrically coupled to the electronic processor;

wherein the electronic processor is further configured to

operate the autonomous vehicle in a manual driving mode;

receive data from the at least one sensor while the autonomous vehicle operates in the manual driving mode;

determine a driving style based on the data; and

adjust at least one of the plurality of settings based on the driving style.

14. The system of claim 13, wherein the electronic processor is further configured to determine the driving style using at least one machine learning engine.

15. The system of claim 10,

wherein the electronic processor is further configured to

receive via the human machine interface, at least one driver input;

and

adjust at least one of the plurality of settings based on the at least one driver input.

16. The system of claim 15, wherein the at least one driver input is at least one of a group consisting of a driver preference input, a driver feedback input, and a driver rating input.

17. The system of claim 10, wherein the electronic processor is further configured to

determine at least one external factor;

and

when the autonomous vehicle is operating in an autonomous driving mode, control the at least one vehicle control system based on the at least one of the plurality of settings and the at least one external factor.

18. The system of claim 17, wherein the at least one external factor is at least one from a group consisting of a weather condition, a road condition, and a driver activity.