Gm Global Technolgoy Operations, Inc.

Other

Delco Electronics Corporation

William C Lin

Yuen-Kwok Chin

Jihua Huang

Youssef A Ghoneim

David M Sidlosky

Shih-Ken Chen

Hsien Heng Chen

Stephen R Pastor

Michael Douglas Rizzo

Ronald Paul

Mutasim Abdurrahman Salman

Edward John Bedner

Michael Paul Turski

Douglass L Carson

Jing Zhang

Duane Edward Bassett

Yilu Zhang

Weiwen Deng

Balarama Vempaty Murty

Rami I Debouk

Alan J Lee

Howard Hans Ludwig

Hong Xing Hu

Edmund Stanley Browalski

Vivek Jaikamal

Pei-chung Wang

Bakhtiar Brian Litkouhi

Thomas W Nehl

Upali Priyantha Mudalige

Sanjeev Manubhai Naik

Thomas Arthur Perry

Ansaf Ibrahem Alrabady

Kevin Austin O'Dea

Michael G Reynolds

Kwang-Keun Shin

Man-Feng Chang

John Robert Bradley

Aleksander Boguslaw Hac

Yong Han Lee

Andrzej M Pawlak

Steven W Holland

John F Hoying

David John Barta

Jeffery Alan Zuraski

David W Graber

Xiaodong Zhang

Steven L Tracht

Sanket S Amberkar

Robert R Bolio

Cem U Saraydar

Dennis C Eckhardt

David S Rule

Philip Mark Headley

Prakash K Kulkarni

Ashish S Krupadanam

Cheng-Foo Chen

Scott D Morrison

Scott E Weiss

Donn W Glander

Joachim Busshardt

Shahram Zarei

Maged Radamis

Edward J Grant

Rowland Curl Augustus

Sean Padraig O'Connell

Manxue Lu

David P Lynch

An adaptive vehicle control system that classifies a drivers driving style based on vehicle headway control. The system reads sensor signals to identify the range and range rate between a subject vehicle and a preceding vehicle, where the range rate is close to zero if the distance between the subject vehicle and the preceding vehicle is relatively steady, the range rate is negative when the subject vehicle is closing in on the preceding vehicle and the range rate is positive when the subject vehicle is falling behind the preceding vehicle. The range rate, the subject vehicle speed and other signals are used to classify the drivers driving style based on how fast the subject vehicle closes in on the preceding vehicle or falls behind, and the following distance between the subject vehicle and the preceding vehicle. The system can then classify the headway-control maneuver using selected discriminant features.

Adaptive vehicle control system with driving style recognition based on headway distance

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.

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

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.

Adaptive vehicle control system with driving style recognition

A method for improving energy efficient operation of a vehicle includes monitoring vehicle operating characteristics, modeling operation of the vehicle by utilizing the vehicle operating characteristics to estimate energy consumption rates of the vehicle across an allowable vehicle operating range, and generating a control output to the vehicle on the basis of the energy consumption rates.

Energy economy mode using preview information

An adaptive vehicle control system that classifies a drivers 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 obtained or derived from the maneuver.

Adaptive vehicle control system with driving style recognition based on maneuvers at highway on/off ramps

A system and method for providing autonomous and remote vehicle maintenance and repair. The system employs an on-board diagnosis and prognosis module that monitors one or more vehicle buses to identify trouble codes and other information indicating a vehicle problem. The on-board module causes a telematic device on the vehicle to broadcast a message including a problem code that identifies the problem the vehicle is having. A remote repair center may receive the message and may identify a software upgrade patch associated with the problem that can be transmitted to the vehicle to upgrade its software to correct the problem. Also, the message may be received by another vehicle that is part of a broadcast network that has previously received the software upgrade patch to fix a problem on that vehicle, where the receiving vehicle may transmit the software upgrade patch to the vehicle having the problem.

Autonomous vehicle maintenance and repair system

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.

Adaptive vehicle control system with driving style recognition based on vehicle launching

A system that classifies driver driving skill based on on-ramp or off-ramp maneuvers. The system reads sensor signals for vehicle speed and vehicle yaw rate. The system determines that the vehicle has made an on-ramp or off-ramp maneuver using the vehicle speed signal and the yaw-rate signal and then classifies the driver's driving skill using selected discriminant features obtained or derived from the on-ramp or off-ramp maneuver.

Vehicle stability enhancement control adaptation to driving skill based on highway on/off ramp maneuver

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.

Adaptive vehicle control system with driving style recognition based on vehicle passing maneuvers

A method for estimating the maximum tire/road surface coefficient of friction for a vehicle that includes actively inducing a small amount of acceleration or deceleration to the front wheels or the rear wheels of the vehicle and inducing a corresponding and opposite amount of acceleration or deceleration to the other of the front wheels or the rear wheels of the vehicle so that the acceleration and deceleration cancel each other and the perceived speed of the vehicle does not change. The tire/road surface coefficient of friction and a wheel-slip ratio can be used to determine a road surface condition.

Real-time identification of maximum tire-road friction coefficient by induced wheels acceleration/deceleration

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.

Control adaptation of variable gear ratio steering

A vehicle stability enhancement system that is adapted for an estimated driver workload. The system includes a driver workload estimation processor that estimates the driver workload based on certain factors, such as the vehicle speed or driver-behavior factors. The driver workload estimation is used to adjust the damping ratio and natural frequency in dynamic filters in a command interpreter to adjust a desired yaw rate signal and a desired side-slip signal. The driver workload estimation is also used to generate a yaw rate multiplication factor and a side-slip multiplication factor that modify a yaw rate stability signal and a side-slip stability signal in a feedback control processor that generates a stability control signal.

Driver workload-based vehicle stability enhancement system

A system and method for identifying a person as an authorized driver of a vehicle based on settings of the vehicle. The system includes a sensor for detecting a presence of a driver in the vehicle. The system also includes one or more control modules corresponding to the parameters of the vehicle. The parameters can be controlled by the control modules. The system also includes a driver ID controller coupled to the control modules and the sensor. The driver ID controller is configured to recognize the driver as an authorized driver based on inputs from the sensor and the control modules. The driver ID controller can also command the control units to adjust the parameters to predefined one or more attributes corresponding to the authorized driver.

Vehicle-setting-based driver identification system

Brake pedal input is modulated to produce a consistent relationship between the brake pedal input and a deceleration of the vehicle.

Method and system for consistent braking control

An adaptive vehicle control system that classifies a driver's driving style based on vehicle U-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 U-turn maneuver if the yaw rate is less than a third yaw rate threshold during the maneuver, the final vehicle heading angle is within a heading angle range and the duration of the maneuver is less than a predetermined time threshold. In one non-limiting embodiment, the heading angle range is between 165&#xb0; and 195&#xb0;.

Adaptive vehicle control system with driving style recognition based on vehicle U-turn maneuvers

Growing community of inventors

Birmingham, MI, United States of America

William C Lin