VEHICLE STABILITY ENHANCEMENT CONTROL ADAPTATION TO DRIVING SKILL BASED ON VEHICLE BACKUP MANEUVER

• US 20100209887A1
• Filed: 02/18/2009
• Published: 08/19/2010
• Est. Priority Date: 02/18/2009
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Huang, Jihua, Chin, Yuen-Kwok, Lin, William C.
• Application Number:
  US12/388,352
• Publication Number:
  US 20100209887A1
• Time in Patent Office: Days
• US Class Current: 434/65
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• 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: G09B 19/167 Control of land vehicles

Abstract

A system and method that classifies driver driving skill based on backup maneuvers. The system determines a vehicle speed signal and a vehicle backup gear position. The system determines that the vehicle has made a backup maneuver using the vehicle speed signal and the backup gear position and then classifies the driver'"'"'s driving skill using selected discriminant features obtained or derived from the backup maneuver.

Claims

1. A method for determining a driver'"'"'s driving skill, said method comprising:

determining a vehicle speed signal;

determining whether the vehicle speed signal during a predetermined time window is greater than a predetermined speed threshold;

determining whether a vehicle transmission gear is in reverse;

determining that the vehicle is in a backup maneuver if the vehicle speed signal during the predetermined time window is greater than the speed threshold and the transmission gear is in reverse;

determining that the vehicle backup maneuver has ended if the vehicle transmission gear is still in reverse and the vehicle speed signal is less than the predetermined speed threshold during a second time window; and

classifying the driver'"'"'s driving skill using information obtained during the backup maneuver.

2. The method according to claim 1 wherein classifying the driver'"'"'s driving skill includes using selected discriminant features obtained or derived from the backup maneuver.

3. The method according to claim 2 wherein the discriminant features are obtained or derived by the group comprising a final vehicle speed at the end of the maneuver, an average acceleration during the maneuver and an array of throttle indexes during the maneuver based on the distribution of the throttle opening.

4. The method according to claim 1 wherein classifying the driver'"'"'s driving skill includes using a classification technique selected from the group comprising fuzzy logic, clustering, neural networks self-organizing maps and threshold-based logic.

5. The method according to claim 1 wherein classifying the driver'"'"'s driving skill includes using a neural network.

6. The method according to claim 1 wherein classifying the driver'"'"'s driving skill includes classifying the drivers driving skill using either a straight-line backup maneuver or a backup turning maneuver.

7. A method for determining a driver'"'"'s driving skill, said method comprising:

determining a vehicle speed signal and a vehicle gear position;

determining whether the vehicle has made a backup maneuver using the vehicle speed signal and the gear position; and

classifying the driver'"'"'s driving skill using discriminate features obtained during the backup maneuver.

8. The method according to claim 7 wherein the discriminant features are obtained or derived by the group comprising a final vehicle speed at the end of the maneuver, an average acceleration during the maneuver and an array of throttle indexes during the maneuver based on the distribution of the throttle opening.

9. The method according to claim 7 wherein classifying the driver'"'"'s driving skill includes using a classification technique selected from the group comprising fuzzy logic, clustering, neural networks, self-organizing maps and threshold-based logic.

10. The method according to claim 7 wherein classifying the backup maneuver includes using a neural network.

11. The method according to claim 7 wherein classifying the drivers driving skill includes classifying the drivers driving skill using either a straight-line backup maneuver or a backup and turning maneuver.

12. A system for determining a driver'"'"'s driving skill, said system comprising:

means for determining a vehicle speed signal;

means for determining whether the vehicle speed signal during a predetermined time window is greater than a predetermined speed threshold;

means for determining whether a vehicle transmission gear is in reverse;

means for determining that the vehicle is in a backup maneuver if the vehicle speed signal during the predetermined time window is greater than the speed threshold and the transmission gear is in reverse;

means for determining that the vehicle backup maneuver has ended if the vehicle transmission gear is still in reverse and the vehicle speed signal is less than the predetermined speed threshold during a second time window; and

means classifying the driver'"'"'s driving skill using information obtained during the backup maneuver.

13. The system according to claim 12 wherein the means for classifying the driver'"'"'s driving skill uses selected discriminant features obtained or derived from the backup maneuver.

14. The system according to claim 13 wherein the discriminant features are obtained or derived by the group comprising a final vehicle speed at the end of the maneuver, an average acceleration during the maneuver and an array of throttle indexes during the maneuver based on the distribution of the throttle opening.

15. The system according to claim 12 wherein the means for classifying the driver'"'"'s driving skill includes using a classification technique selected from the group comprising fuzzy logic, clustering, neural networks, self-organizing maps and threshold-based logic.

16. The system according to claim 12 wherein the means for classifying the driver'"'"'s driving skill includes using a neural network.

17. The system according to claim 12 wherein the means for classifying the driver'"'"'s driving skill includes means for classifying the drivers driving skill using either a straight-line backup maneuver or a backup turning maneuver.