Automatic driver modeling for integration of human-controlled vehicles into an autonomous vehicle network

• US 9,576,083 B2
• Filed: 08/08/2013
• Issued: 02/21/2017
• Est. Priority Date: 01/10/2013
• Status: Active Grant

• Current Assignee: DoorDash, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Kozloski, James R., Lynar, Timothy M., VECCHIOLA, Cristian
• Primary Examiner(s): Rivas, Omar Fernandez
• Assistant Examiner(s): Khan, Iftekhar
• Application Number:
  US13/962,177
• Publication Number:
  US 20140195214A1
• Time in Patent Office: 1,293 Days
• Field of Search: 703/8
• US Class Current: 1/1
• 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 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 2756/10 Involving external transmission of data to or from the vehicle
• 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: G06F 30/15 Vehicle, aircraft or watercraft design
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• 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: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

Automatic driver modeling is used to integrate human-controlled vehicles into an autonomous vehicle network. A driver of a human-controlled vehicle is identified based on behavior patterns of the driver measured by one or more sensors of an autonomous vehicle. A model of the driver is generated based on the behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle. Previously stored behavior patterns of the driver are then retrieved from a database to augment the model of the driver. The model of the driver is then transmitted from the autonomous vehicle to nearby vehicles with autonomous interfaces.

Claims

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

a processor, a system memory, and a bus that couples the system memory to the processor,

wherein the processor is configured to perform a method comprising;

identifying, by the autonomous vehicle, a driver of a human-controlled vehicle based on behavior patterns of the driver of the human-controlled vehicle measured by one or more sensors of the autonomous vehicle, wherein identifying the driver of the human-controlled vehicle comprises;

interrogating the human-controlled vehicle for driver identification data,

receiving the driver identification data in response,

analyzing registration information of the human-controlled vehicle, and

identifying the driver by using a pattern matching algorithm and the registration information;

generating a model of the driver of the human-controlled vehicle based on behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle;

retrieving previously stored behavior patterns of the driver, based on the identification of the driver, to augment the generated model of the driver; and

transmitting the generated model of the driver of the human-controlled vehicle to a second autonomous vehicle.

2. The computer system of claim 1, wherein the processor is further configured to probe the second autonomous vehicle on a roadway for the presence of autonomous interfaces in the second autonomous vehicle, the autonomous interfaces communicating vehicle parameters comprising a vehicle'"'"'s location, a vehicle'"'"'s speed, and a subsequent action of the second autonomous vehicle.

3. The computer system of claim 1, wherein the model of the driver facilitates the autonomous vehicle to anticipate an action of the driver of the human-controlled vehicle.

4. The computer system of claim 1, wherein the retrieving of previously stored behavior patterns of the driver further comprises:

accessing a remote server using a unique identifier of the driver; and

uploading recently measured behavior patterns of the driver to the remote server.

5. The computer system of claim 4, wherein the model of the driver is generated using a processing device onboard the autonomous vehicle or a processing device of the remote server.

6. The computer system of claim 1, wherein the model of the driver, which includes previously stored behavior patterns of the driver, is further augmented with present measurements of driver behavior patterns.

7. The computer system of claim 1, wherein the one or more sensors of the autonomous vehicle comprise optical sensors and audio sensors for measuring the behavior patterns of the driver, the behavior patterns including a vehicle measurement selected from a group comprising a speed, an acceleration, a directional change, a movement, a brake frequency, and a variation in speed over a predetermined time.

8. The computer system of claim 1, wherein the transmitting of the model of the driver from the autonomous vehicle to the second autonomous vehicle is implemented through a wireless antenna onboard the autonomous vehicle.

9. The computer system of claim 4, wherein the accessing of the remote server is implemented through a cellular antenna onboard the autonomous vehicle.

10. A processor onboard an autonomous vehicle, a system memory, and a bus that couples the system memory to the processor, the processor configured to perform a method comprising:

identifying a driver of a human-controlled vehicle based on behavior patterns of the driver of the human-controlled vehicle measured by one or more sensors of the autonomous vehicle, wherein identifying the driver of the human-controlled vehicle comprises;

interrogating the human-controlled vehicle for driver identification data,

receiving the driver identification data in response, analyzing registration information of the human-controlled vehicle, and

identifying the driver by using a pattern matching algorithm and the registration information;

generating a dynamically updated model of the driver using the behavior patterns measured by the one or more sensors;

determining a unique identifier of the driver based on the behavior patterns by using a pattern matching algorithm; and

transmitting the unique identifier of the driver and the model of the driver to a second autonomous vehicle.

11. The computer system of claim 10, wherein the human controlled vehicle is granted special driving privileges based on the model of the driver of the human-controlled vehicle.

12. The computer system of claim 10, wherein the processor is further configured to probe a vehicle within a predetermined vicinity of the autonomous vehicle for the presence of autonomous interfaces, the autonomous interfaces communicating vehicle parameters wirelessly.

13. The computer system of claim 10, wherein the processor is further configured to retrieving previously stored behavior patterns of the driver, based on the identification of the driver, to augment the generated model of the driver.

14. The computer system of claim 13, wherein the previously stored behavior patterns of the driver are retrieved by accessing a remote server using the unique identifier of the driver.

15. The computer system of claim 10, wherein the one or more sensors comprise optical sensors and audio sensors for measuring the behavior patterns of the driver, the behavior patterns including a vehicle measurement selected from a group comprising a speed, an acceleration, a directional change, a movement, a brake frequency, and a variation in speed over a predetermined time.

16. The computer system of claim 10, wherein the transmitting of the model of the driver to the autonomous vehicle to is implemented through a wireless antenna onboard the human-controlled vehicle.

17. The computer system of claim 11, wherein the special driving privileges comprise access to a roadway restricted to autonomous vehicles.

18. The computer system of claim 10, the method further comprising measuring behavior patterns of the driver of the human-controlled vehicle using one or more sensors coupled to a processor onboard the human-controlled vehicle.

19. The computer system of claim 10, the method further comprising transmitting the model of the driver to a remote server.