Aberrant Driver Classification and Reporting

• US 20190291750A1
• Filed: 06/11/2019
• Published: 09/26/2019
• Est. Priority Date: 09/01/2015
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Jain, Jinesh J., Levine, Daniel
• Granted Patent: US 10,640,130 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06N 20/00 Machine learning

Abstract

Methods, devices and apparatuses pertaining to aberrant driver classification and reporting are described. A method may involve receiving a message from a user of a first vehicle, the message indicating an instance of aberrant driving of a second vehicle. The method may also involve determining that the instance has occurred using one or more classifiers. The method may further involve collecting information of the second vehicle and generating a warning message based on the information.

Claims

1. A method, comprising:

providing, by one or more processors, one or more driving scenarios involving one or more aberrant driving behaviors to a user;

receiving, by the one or more processors, data indicative of a response of the user to the one or more driving scenarios;

clustering, by the one or more processors, the data to generate one or more classifiers; and

transmitting, by the one or more processors, the one or more classifiers to one or more vehicles.

2. The method of claim 1, wherein the providing of the one or more driving scenarios comprises providing one or more simulations of the one or more driving scenarios through a simulation system.

3. The method of claim 1, wherein the receiving of the data indicative of a response of the user to the one or more driving scenarios comprises receiving a measurement of one or more physical parameters of the user as a response to the one or more aberrant driving behaviors under a simulated condition.

4. The method of claim 1, wherein the one or more classifiers comprise one or more template motion plans or one or more actions associated with one or more aberrant driving features, and wherein the one or more aberrant driving features are associated with one or more driving behaviors comprising at least one of failure to signal a turn, failure to stop at an appropriate signal, proceeding without right of way, crossing a solid lane boundary, driving into oncoming traffic, or exceeding a speed limit.

5. The method of claim 1, wherein the one or more classifiers comprise one or more template motion plans or one or more actions associated with one or more aberrant driving profiles, and wherein the one or more aberrant driving profiles comprise at least one of swerving, skidding, oscillating laterally, deviation from a lane center for more than a threshold period of time, lane changing without proper clearance, erratic speed control, erratic braking, or off-nominal confluence with a traffic flow.