CONTINUOUS IDENTITY MONITORING FOR CLASSIFYING DRIVING DATA FOR DRIVING PERFORMANCE ANALYSIS

• US 20150193885A1
• Filed: 01/05/2015
• Published: 07/09/2015
• Est. Priority Date: 01/06/2014
• Status: Active Grant

• Current Assignee: iOnRoad Technologies Limited (Samsung Electronics Co. Ltd.)
• Original Assignee: Harman International Industries Incorporated (Samsung Electronics Co. Ltd.)
• Inventors: Akiva, Ohad, Atsmon, Alon, Atsmon, Dan
• Granted Patent: US 10,229,461 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/0841 Registering performance data recording measured values G01D; information storage G11B
• CPC Class Codes: G08G 1/16 Anti-collision systems road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08

Abstract

Embodiments are provided for determining driving behavior. In an example method for determining driver behavior from a driving session, the method includes obtaining sensor data from a sensor during a driving session, obtaining image data from an imaging device during the driving session, and analyzing at least one of the sensor data and the image data from the driving session, to identify an event of interest. The method further includes assigning a classification to the event of interest according to a correlation between the sensor data for the event of interest and at least one image from the image data for the event of interest, the correlation based on time the sensor data and the image data is obtained during the driving session, and, wherein the at least one image for the event of interest provides the context for the event of interest.

Claims

1. A method for determining driver behavior from at least one driving session, comprising:

obtaining sensor data from at least one sensor during at least one driving session;

obtaining image data from at least one imaging device during the at least one driving session;

analyzing at least one of the sensor data and the image data from the at least one driving session, to identify at least one event of interest; and

assigning a classification to the at least one event of interest according to a correlation between the sensor data for the at least one event of interest and at least one image from the image data for the at least one event of interest, the correlation based on time the sensor data and the image data is obtained during the at least one driving session, and, wherein the at least one image for the at least one event of interest provides the context for the at least one event of interest.

2. The method of claim 1, additionally comprising:

analyzing the classification of the at least one event of interest to determine a score for the driver behavior.

3. The method of claim 2, wherein the at least one event of interest includes a plurality of events of interest.

4. The method of claim 3, additionally comprising:

calculating an insurance premium for at least one of the driver and the vehicle, from at least one of a score of driver behavior and at least one event of interest.

5. The method of claim 3, wherein each event of interest of the plurality of events of interest is classified as one of a positive event, a negative event, or an exception.

6. The method of claim 3, wherein the obtaining data from the at least one imaging device includes obtaining images of the path traversed by the vehicle during the driving session.

7. The method of claim 3, wherein the obtaining data from the at least one imaging device includes obtaining images of the driver of the vehicle during the driving session.

8. The method of claim 7, wherein the context provided by the at least one image relates to at least one of identification of the driver, and actions taken by the driver.

9. The method of claim 3, additionally comprising:

obtaining additional data about the driver, and using the additional data to recalculate the score for the driver behavior.

10. The method of claim 1, wherein the sensor data and the image data is transmitted to at least one storage medium over a communications network.

11. The method of claim 10, wherein the sensor data and image data is transmitted over a communications network to a computer linked to the communications network, the computer for the analyzing at least one of the sensor data or the image data from the at least one driving session, to identify at least one event of interest.

12. The method of claim 2, wherein the at least one driving session includes a single driving session and the score is determined for the single driving session.

20. The system of claim 12, wherein the processor is additionally programmed to correlate a driver identification by associating an image of the driver to the at least one event of interest, for the at least one driving session.

13. A system for determining driver behavior from at least one driving session, comprising:

a plurality of sensors for obtaining sensor data during at least one driving session;

an imaging device for obtaining images during the at least one driving session; and

;

a processor in communication with the plurality of sensors and the imaging device, the processor programmed to;

analyze at least one of the sensor data or the image data from the at least one driving session, to identify at least one event of interest; and

assign a classification to the at least one event of interest according to a correlation, made by a correlation module, between the sensor data for the at least one event and at least one image from the image data for the at least one event of interest, the correlation based on time the sensor data and the image data is obtained during the at least one driving session, and, wherein the at least one image for the at least one event of interest provides the context for the at least one event of interest.

14. The system of claim 13, wherein the processor is additionally programmed to:

analyze the assigned classification of the at least one event of interest to determine a score for the driver behavior.

15. The system of claim 13, wherein the imaging device includes a camera.

16. The system of claim 15, wherein the imaging device includes a plurality of cameras on both sides of the imaging device for obtaining front and rearward images with respect to the vehicle.

17. The system of claim 13, additionally comprising a wearable device for the driver for obtaining biometric data of the driver during the at least one driving session, the wearable device in communication with the processor, the wearable device for obtaining biometric data for the driver.

18. The system of claim 17, wherein the processor is additionally programmed to correlate a driver identification by associating biometric data of the driver to the at least one event of interest, for the at least one driving session.

19. The system of claim 17, wherein the wearable device includes sensors for at least one of heart rate, pulse rate, body temperature, skin moisture, fat, and an imaging device for visually identifying the driver.