IP Library › Granted Patent US 8,280,601
Granted Patent B2
US 8,280,601 · App. 12/179,314 · Granted Oct 2, 2012

Adaptive vehicle control system with integrated maneuver-based driving style recognition

Assignee: GM Global Technology Operations LLC
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Quick Facts
Patent No.
US 8,280,601
App. No.
12/179,314
Granted
Oct 2, 2012
Kind
B2
Abstract

A vehicle control system that classifies a driver's driving style based on characteristic maneuvers. The system includes a plurality of vehicle sensors that detect various vehicle parameters. A maneuver identification processor receives the sensor signals to identify a characteristic maneuver of the vehicle and provides a maneuver identifier signal of the maneuver. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the traffic and road condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle. The classification of the driver style can be provided for a level-1 combination that combines the classification results from different maneuver type classifiers for a single maneuver, a level-2 combination that combines the classification results from multiple maneuvers that are of the same type and a level-3 combination that combines the classification results from different types of characteristic maneuvers.

Claims (24)

1. A system for classifying a driver's driving style of a vehicle, said system comprising:

a plurality of vehicle sensors providing sensor measurement signals;

a maneuver identification processor responsive to the sensor signals from the plurality of vehicle sensors, said maneuver identification processor identifying different characteristic maneuvers of the vehicle and providing maneuver identifier signals identifying the characteristic maneuvers; and

a style characterization processor responsive to the maneuver identifier signals and the sensor measurement signals, said style characterization processor including separate classifiers for each different type of maneuver, said classifiers being selected based on the maneuver identifier signal to classify driving style using sensor signals corresponding to a particular maneuver, each classifier providing a driver style classification signal that identifies the type of driver driving the vehicle for the particular maneuver, said style characterization processor further including a first combiner that receives and combines the style classification signals from each of the selected classifiers and provides a combined style classification signal for a single one of several different maneuvers.

2. The system according to claim 1 further comprising a decision fusion processor responsive to the driver style classification signals from the different classifiers in the style characterization processor.

3. The system according to claim 2 wherein the decision fusion processor includes a second combiner that combines the style classification signals for multiple maneuvers that are of the same type.

4. The system according to claim 3 wherein the decision fusion processor further includes a third combiner that combines style classification signals from the second combiner for different types of maneuvers.

5. The system according to claim 1 wherein the first combiner employs a combination process selected from a group comprising voting, sum, mean, median, product, maximum/minimum, fuzzy integral, Dempster-Shafer, mixture of local experts and neural networks.

6. The system according to claim 1 wherein the first combiner employs a Dempster-Shafer process.

7. The system according to claim 1 further comprising a traffic and road condition recognition processor responsive to the sensor signals, said traffic and road condition recognition processor providing traffic and road condition signals to the style characterization processor.

8. The system according to claim 1 further comprising a style profile trip-logger responsive to the maneuver identifier signals and the style classification signals, said trip-logger storing the style classification signals.

9. The system according to claim 1 wherein the characteristic maneuvers include vehicle following maneuvers, lane-change maneuvers, U-turn maneuvers, left/right-turn maneuvers, highway on/off ramp maneuvers, passing maneuvers, vehicle launching maneuvers and curve-handling maneuvers.

10. The system according to claim 1 wherein the style characterization processor includes an original features processor for deriving original features in the maneuver identifier signals, a feature extraction processor for extracting features from the original features, a feature selection processor for selecting certain ones of the extracted features and a classifier for classifying the maneuver using the selected features.

11. The system according to claim 1 wherein the classifiers employ a process of feature extraction and feature selection to classify the driving style.

12. The system according to claim 1 wherein the classifiers use discriminant features to classify the driving style.

13. A system for classifying a driver's driving style of a vehicle, said system comprising:

a plurality of vehicle sensors providing sensor measurement signals;

a maneuver identification processor responsive to the sensor signals from the plurality of vehicle sensors, said maneuver identification processor identifying different characteristic maneuvers of the vehicle and providing maneuver identifier signals identifying the characteristic maneuvers;

a style characterization processor responsive to the maneuver identifier signals and the sensor measurement signals, said style characterization processor classifying driving style based on the identifier and sensor signals and providing driving style classification signals that identify the type of driver driving the vehicle; and

a plurality of combiners that combine the classification signals for different maneuvers, where the plurality of combiners includes a first combiner that combines the style classification signals for multiple maneuvers that are of the same type, and a second combiner that combines style classification signals from the first combiner for different types of maneuvers.

14. The system according to claim 13 wherein the style characterization processor includes a plurality of classifiers where a separate classifier classifies driving style for each different maneuver.

15. The system according to claim 14 wherein the style characterization processor includes a combiner that receives and combines the style classification signals from each of the classifiers and provides a combined style classification signal for a single one of several different maneuvers.

16. The system according to claim 13 wherein the style characterization processor includes an original features processor for identifying original features from the maneuver identifier signals, a feature extraction processor for extracting features from the original features, a feature selection processor for selecting certain ones of the extracted features and a classifier for classifying the maneuver using the selected features.

17. The system according to claim 13 wherein the classifiers use discriminant features to classify the driving style.

Assignments (12)
RELEASE OF SECURITY INTEREST Recorded Nov 7, 2014
From: WILMINGTON TRUST COMPANY
To: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Reel/Frame 034384/0758 →
CHANGE OF NAME Recorded Feb 10, 2011
From: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
To: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Reel/Frame 025781/0211 →
SECURITY AGREEMENT Recorded Nov 8, 2010
From: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
To: WILMINGTON TRUST COMPANY
Reel/Frame 025324/0475 →
RELEASE OF SECURITY INTEREST Recorded Nov 5, 2010
From: UAW RETIREE MEDICAL BENEFITS TRUST
To: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Reel/Frame 025315/0046 →
RELEASE OF SECURITY INTEREST Recorded Nov 4, 2010
From: UNITED STATES DEPARTMENT OF THE TREASURY
To: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Reel/Frame 025245/0909 →
SECURITY AGREEMENT Recorded Aug 28, 2009
From: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
To: UAW RETIREE MEDICAL BENEFITS TRUST
Reel/Frame 023162/0237 →
SECURITY AGREEMENT Recorded Aug 27, 2009
From: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
To: UNITED STATES DEPARTMENT OF THE TREASURY
Reel/Frame 023156/0313 →
RELEASE OF SECURITY INTEREST Recorded Aug 21, 2009
From: CITICORP USA, INC. AS AGENT FOR BANK PRIORITY SECURED PARTIES; CITICORP USA, INC. AS AGENT FOR HEDGE PRIORITY SECURED PARTIES
To: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Reel/Frame 023155/0769 →
RELEASE OF SECURITY INTEREST Recorded Aug 21, 2009
From: UNITED STATES DEPARTMENT OF THE TREASURY
To: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Reel/Frame 023126/0914 →
SECURITY AGREEMENT Recorded Apr 16, 2009
From: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
To: CITICORP USA, INC. AS AGENT FOR BANK PRIORITY SECURED PARTIES; CITICORP USA, INC. AS AGENT FOR HEDGE PRIORITY SECURED PARTIES
Reel/Frame 022554/0538 →
SECURITY AGREEMENT Recorded Feb 4, 2009
From: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
To: UNITED STATES DEPARTMENT OF THE TREASURY
Reel/Frame 022201/0448 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 29, 2008
From: HUANG, JIHUA; LIN, WILLIAM C.; CHIN, YUEN-KWOK
To: GM GLOBAL TECHNOLOGY OPERATIONS, INC.
Reel/Frame 021309/0156 →
Continuity (1)
Related Publication 20100023183A1 · Jan 28, 2010