User profile-based automatic parameter tuning system for connected vehicles

• US 10,202,127 B2
• Filed: 05/19/2016
• Issued: 02/12/2019
• Est. Priority Date: 05/19/2016
• Status: Active Grant

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: Shiraishi, Shinichi, Yamaura, Masahiro, Lin, Chung-Wei
• Primary Examiner(s): Antonucci, Anne M
• Assistant Examiner(s): Malhotra, Sanjeev
• Application Number:
  US15/159,233
• Publication Number:
  US 20170334450A1
• Time in Patent Office: 999 Days
• Field of Search: 701 41, 4554143, 455418, 705 5, 702 64, 348 38
• 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 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 2710/223 Stiffness
• CPC Class Codes: B60W 2720/10 Longitudinal speed
• CPC Class Codes: B60W 2720/106 Longitudinal acceleration
• CPC Class Codes: B60W 2754/30 Longitudinal distance
• CPC Class Codes: B60W 30/06 Automatic manoeuvring for parking
• CPC Class Codes: B60W 30/08 Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
• 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 50/08 Interaction between the driver and the control system
• CPC Class Codes: B60W 50/085 Changing the parameters of the control units, e.g. changing limit values, working points by control input
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: B60W 60/0013 specially adapted for occupant comfort
• 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: H04L 51/18 Commands or executable codes
• 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 67/131 Protocols for games, networked simulations or virtual reality
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

The disclosure includes implementations for modifying an operation of an Advanced Driver Assistance System (“ADAS system”) of a vehicle based on one or more preferences of a user for the operation of the ADAS system. Some implementations of a method may include receiving a wireless message from a wireless network. The wireless message may include optimization settings data describing how to modify an operation of the ADAS system of the vehicle based on one or more preferences of a user for the operation of the ADAS system. The user may include a human who has reserved the vehicle for their use. The method may include modifying one or more control parameters of the ADAS system based on the optimization settings data so that the operation of the ADAS system conforms with the one or more preferences of the user for the operation of the ADAS system.

Claims

1. A method of a vehicle including an Advanced Driver Assistance System (“

ADAS system”

) and a communication unit, the method comprising;

receiving, by the communication unit of the vehicle, a wireless message from a wireless network, wherein the wireless message includes optimization settings data describing how to modify an operation of the ADAS system of the vehicle based on (1) one or more preferences of a first user for the operation of the ADAS system and (2) a characteristic behavior of the ADAS system as determined based on one or more digital simulations including a digital version of the vehicle, wherein the wireless message is transmitted to the vehicle responsive to the first user reserving the vehicle for their use; and

modifying, by a processor of the vehicle, one or more control parameters of the ADAS system based on the optimization settings data so that the operation of the ADAS system conforms with the one or more preferences of the first user.

2. The method of claim 1, wherein the wireless message is received via dedicated short range communication.

3. The method of claim 1, wherein the optimization settings data include one or more new control parameters for the ADAS system and modifying the one or more control parameters of the ADAS system includes replacing the one or more control parameters of the ADAS system with the one or more new control parameters.

4. The method of claim 1, wherein the one or more control parameters are modified based on the one or more preferences of the first user including a preference for a velocity of the vehicle.

5. The method of claim 1, wherein the one or more control parameters are modified based on the one or more preferences of the first user including a-preference for an acceleration of the vehicle.

6. The method of claim 1, wherein the one or more control parameters are modified based on the one or more preferences of the first user including a preference for a braking of the vehicle.

7. The method of claim 1, wherein the one or more control parameters are modified based on the one or more preferences of the first user including a preference for a deceleration of the vehicle.

8. The method of claim 1, wherein the one or more control parameters are modified based on the one or more preferences of the first user including a preference for a separation distance of the vehicle relative to another object on a roadway being traveled by the vehicle.

9. The method of claim 1, wherein the ADAS system is an adaptive cruise control system.

10. The method of claim 1, wherein the ADAS system is an automatic parking system.

11. The method of claim 1, wherein the ADAS system is an emergency driver assistant.

12. The method of claim 1, wherein the ADAS system is a collision avoidance system.

13. The method of claim 1, wherein the ADAS system is a vehicle control system that makes the vehicle an autonomous vehicle.

14. The method of claim 1 further comprising receiving, by the communication unit, a second wireless message including second optimization settings data describing how to modify the operation of the ADAS system of the vehicle based on one or more preferences of a second user who has reserved the vehicle for use by the second user at a time when the vehicle is not reserved for use by the first user, and modifying, by the processor of the vehicle, the one or more control parameters of the ADAS system based on the second optimization settings data so that the operation of the ADAS system conforms with the one or more preferences of the second user for the operation of the ADAS system.

15. The method of claim 1, wherein the first user inputs the one or more preferences for the operation of the ADAS system into an application that is also used for reserving the vehicle.

16. The method of claim 1, wherein the first user reserves the vehicle using a reservation service that is associated with a vehicle rental service that has rented the vehicle to the first user.

17. The method of claim 1, wherein the first user reserves the vehicle using a reservation service is associated with a vehicle sharing service that has rented the vehicle to the first user.

18. The method of claim 1, wherein the first user reserves the vehicle using a reservation service and the optimization settings data are determined by an optimization engine operating on a cloud server that is communicatively coupled to the wireless network and the optimization engine determines the optimization settings based on (1) vehicle characteristics data describing a characteristic operation of the ADAS system for a particular model of the vehicle and (2) user preferences data received by the optimization engine from the reservation service, wherein the user preferences data describes the one or more preferences of the first user for the operation of the ADAS system.

19. A computer program product of a vehicle comprising a non-transitory memory storing computer-executable code that, when executed by a processor of the vehicle, causes the processor to:

receive a wireless message from a wireless network, wherein the wireless message includes optimization settings data describing how to modify an operation of an ADAS system of the vehicle based on (1) one or more preferences of a user who has reserved the vehicle for their use at a start time and (2) a characteristic behavior of the ADAS system as determined based on one or more digital simulations including a digital version of the vehicle, wherein the one or more preferences describe the user'"'"'s preferences for the operation of the ADAS system;

monitor a current time relative to the start time; and

modify one or more control parameters of the ADAS system based on the optimization settings data so that the operation of the ADAS system conforms with the one or more preferences of the user for the operation of the ADAS system, wherein the one or more control parameters are modified based on the optimization settings data prior to the start time.

20. A system comprising:

a vehicle including a processor;

a communication unit communicatively coupled to the processor; and

an ADAS system communicatively coupled to the processor and the communication unit;

wherein the ADAS system is operable to control an operation of the vehicle based on one or more control parameters of the ADAS system;

wherein, responsive to a user reserving the vehicle for their use, the communication unit receives a wireless message from a wireless network;

wherein the wireless message includes optimization settings data describing how to modify an operation of the ADAS system based on (1) one or more preferences of the user who has reserved the vehicle for their use and (2) a characteristic behavior of the ADAS system as determined based on one or more digital simulations including a digital version of the vehicle;

wherein the one or more preferences describe the user'"'"'s preferences for the operation of the ADAS system; and

wherein, responsive to receipt of the wireless messing including the optimization settings data, the processor modifies the one or more control parameters of the ADAS system based on the optimization settings data so that the operation of the ADAS system conforms with the one or more preferences of the user for the operation of the ADAS system.