Abstract: A skill characterization processor classifies driver skill based stop and go maneuvers. A maneuver identification processor determines whether the vehicle is in a braking maneuver, and the system determines the vehicle longitudinal deceleration, the brake pedal position and the brake pedal rate from the brake pedal position. The skill characterization processor then classifies the driver's driving skill based on the brake pedal rate, the brake pedal position and the vehicle longitudinal deceleration generally under normal driving conditions. In one embodiment, the processor classifies driver skill by performing frequency analysis on the brake pedal rate using a discrete Fourier transform to find a frequency component of the brake pedal rate to obtain a power spectrum density.

Abstract: A method for determining a driver's driving skill of a vehicle based on straight-line driving behavior. The method can classify driver skill based on three straight-line approaches, namely, a lane-position approach, a steering characteristic approach and a traffic-environment reaction approach.

Abstract: A system and method that classify a driver's driving skill based on a characteristic passing maneuver. The system reads vehicle speed and vehicle yaw rate signals and the maneuver identification processor determines whether the vehicle has made a characteristic passing maneuver. The skill characterization processor then uses the sensor information and the passing information to characterize the driver's driving skill based on the passing maneuver.

Abstract: A system and method for providing integrated driver skill recognition. The system includes an input switch that receives maneuver identifier signals that identify a plurality of different vehicle maneuvers and data that represents the identified maneuvers. The system also includes a plurality of skill classification processors that selectively receive the data from the input switch depending on the maneuver identifier signals, where a separate skill classification processor is provided for each separate type of maneuver. The skill classification processors classifying the maneuver to determine the driver's driving skill based on the data and provide skill classification signals. An output switch responsive to the skill classification signals from the skill classification processors.

Abstract: A system that classifies driver driving skill based on lane-change maneuvers. The system reads vehicle sensor signals. The system determining that the vehicle has made a lane-change maneuver using the vehicle sensor signals and then classifies the driver's driving skill using selected discriminant features obtained or derived from the lane-change maneuver.

Abstract: A system for classifying a driver's driving skill of a vehicle based on behavioral diagnosis. A plurality of vehicle sensors providing vehicle measurement signals. A maneuver qualification and identification processor qualifies and identifies characteristic maneuver identifying signals and a maneuver index and parameter processor creates a maneuver index and identifies relevant vehicle parameters. A path reconstruction processor reproduces an intended vehicle path for each characteristic maneuver identified by the maneuver characteristic processor. A maneuver model processor models the characteristic maneuvers and a driving skill diagnosis processor provides driving skill signals based on the maneuver model and driver input data. The driving skill diagnosis processor converts the maneuver model signals and the driver command input signal to the frequency domain to provide frequency content discrepancy analysis.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on vehicle stopping maneuvers. The system reads sensor signals to provide a vehicle speed and a vehicle longitudinal deceleration. The system determines whether an average of the vehicle longitudinal deceleration during a time window is greater than a longitudinal deceleration threshold and, if not, determines that the vehicle is in the stopping maneuver. The system then determines that the stopping maneuver has ended if the vehicle speed signal during another time window is less than a speed threshold. The style characterization processor can then classify the vehicle stopping maneuver using selected discriminant features.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on vehicle stopping maneuvers. The system reads sensor signals to provide a vehicle speed and determines whether the vehicle is currently in straight line driving or curve driving. If the vehicle is in straight line or curve driving and the vehicle speed is less than a speed threshold, the system determines that the vehicle is in an accelerating or decelerating maneuver. The system then determines that the accelerating and decelerating maneuver has ended if the vehicle is not in straight line or curve driving or the vehicle speed signal is less than the speed threshold. The system can then classify the vehicle accelerating and decelerating maneuver using select discriminate features.

Abstract: A vehicle includes vehicle systems each having driver-selectable vehicle system settings (VSS), and a control system for statistically modeling the VSS to determine an identity of a driver. The control system automatically controls a setting of at least one of the vehicle systems using or based on the identity. The control system statistically models the VSS for the driver over time to produce a historical driver profile (HDP) for the driver, and can automatically update the HDP when said driver manually changes any one of the VSS. An optional driver identification device can verify the identity. A method for controlling a predetermined onboard system of a vehicle includes collecting a set of VSS for a plurality of onboard systems, processing the VSS through a statistical modeling algorithm to determine an identity of a driver of the vehicle, and automatically controlling a predetermined onboard system using the identity of the driver.

Abstract: An adaptive control VGR steering system that varies the steering gear ratio between a vehicle hand-wheel angle and the road wheel angle based on vehicle speed and one or more of hand-wheel angle, driver attentiveness and a driver's driving style and skill.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on lane-change maneuvers. A maneuver identification classification process reads sensor signals for vehicle speed, vehicle yaw rate and vehicle heading angle. The process determines if the vehicle is turning based on whether the yaw rate signal is greater than a yaw rate threshold and whether the heading angle is greater than a heading angle threshold. The process then determines whether the maneuver is an ordinary curve-handling maneuver or a lane-change maneuver by determining whether the yaw rate signal is greater than another yaw rate threshold, the difference between the heading angle and an initial heading angle is greater than another heading angle threshold and the lateral deviation is greater than a lateral deviation threshold. If the curve-handling maneuver is a lane-change maneuver, a maneuver identifier signal is provided to a style characterization processor.

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.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on characteristic maneuvers and road and traffic conditions. 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. The system also includes a traffic condition recognition processor that receives the sensor signals, and provides traffic condition signals identifying traffic conditions. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the traffic condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on highway on/off ramp maneuvers. Once the maneuver has been determined to be an on-ramp maneuver or an off-ramp maneuver, a style characterization processor can classify the maneuver using selected discriminant features obtain or derived from the maneuver.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on characteristic maneuvers and road and traffic conditions. 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 characteristic 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. In one embodiment, the style characterization processor generates a maneuver model for the characteristic maneuvers and compares it with driver input data in the frequency domain to generate the driver style classification.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on characteristic curve-handling maneuvers and road and traffic conditions. 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. The system also includes a traffic and road condition recognition processor that receives the sensor signals, and provides traffic condition signals identifying traffic conditions and road condition signals identifying road conditions. 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.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on vehicle passing maneuvers. A process determines whether the vehicle has started a lane change from a first lane to a second lane as a first phase of the passing maneuver. If so, the process determines whether the lane change to the second lane has been completed as a second phase of the passing maneuver. If the lane change to the second lane has been completed, the process determines whether there has been a lane change back to the first lane to complete the passing maneuver as a third phase of the passing maneuver. Further, the process determines whether a time threshold has been exceeded after the passing maneuver is in a second phase, but no lane change back to the first lane has occurred.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on left/right-turn maneuvers. A process determines if the vehicle has started a turn if the yaw rate is greater than a first yaw rate threshold, and determines a vehicle heading angle based on the yaw rate and a sampling time if the vehicle has started a turn. The process then determines whether the vehicle maneuver has been completed by determining if the yaw rate is less than a second yaw rate threshold. The process then determines that the completed maneuver was a left/right-turn maneuver if the yaw rate is less than a third yaw rate threshold over the sampling time and the vehicle heading angle is within a heading angle range for a time period less than a predetermined time threshold. In one non-limiting embodiment, the heading angle range is between 75° and 105°.

Abstract: An adaptive vehicle control system that classifies a drivers driving style based on vehicle launching maneuvers. A process determines whether the vehicle speed signal during a predetermined time window is greater than a speed threshold, whether the vehicle speed signal before the time window is less than the speed threshold and whether the average of the vehicle longitudinal acceleration during the time window is greater than a first longitudinal acceleration threshold and, if so, determines if the vehicle is in a vehicle launching maneuver. The process then determines that the vehicle launching maneuver has ended if the average of the vehicle longitudinal acceleration during a second time window is less than the longitudinal acceleration threshold. The style characterization processor can then classify the vehicle launching maneuver using selected discriminant features.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on characteristic maneuvers and road and traffic conditions. 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.