Abstract: Methods and systems are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, that a lane centering feature is active in the vehicle; identifying, by the processor, a pattern of steering wheel torque; determining, by the processor, a driver requested offset based on a location of the vehicle and a location of a center of the lane; applying, by the processor, the driver requested offset to a planned trajectory of the vehicle; evaluating, by the processor, one or more duration conditions; and in response to the evaluating, selectively generating, by the processor, a control signal based on the planned trajectory with the driver requested offset.

Abstract: A vehicle system for a vehicle towing a trailer includes a trailer control module configured to control actuation of actuators of the trailer and a vehicle control module in communication with the trailer control module. The vehicle control module is configured to control actuation of actuators in the vehicle, determine an energy parameter associated with the vehicle when the trailer control module controls actuation of the actuators in the trailer based on an initial trailer condition, determine an actuation force when the trailer control module controls actuation of the actuators in the trailer based on the initial trailer condition, and generate a control signal for the trailer control module based on the actuation force to control actuation of the actuators of the trailer hitched to the vehicle. Other example vehicle systems and methods for vehicles towing trailers are also disclosed.

Abstract: Methods and systems are provided for controlling a vehicle comprising an Electric Power Steering System (EPS). In an embodiment, a method includes learning, by a processor, a non-linearity of a boost factor associated with the EPS; determining, by the processor, a deboost factor based on an inverse relationship of the learned non-linearity of the boost factor associated with the EPS; and generating, by the processor, a steering command to the EPS based on the deboost factor.

Abstract: A vehicle control system includes a sensor for detecting a vehicle performance characteristic, and a processor for determining a severity of a vehicle system fault in response to the vehicle performance characteristic. The processor determines a safe disable location in response to the vehicle system fault. The processor generates a disable delay request indicative of the safe disable location and the vehicle performance characteristic. A vehicle controller controls a vehicle to proceed to the safe disable location in response to the disable delay request.

Abstract: Methods and systems are provided for a vehicle towing a trailer. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensors of the vehicle; estimating, by a processor, a steering torque value based on the sensor data; estimating, by the processor, a steering angle value based on the sensor data; determining, by the processor, a trailer tongue value based on the steering torque value and the steering angle value; and generating, by the processor, a control signal to control the vehicle based on the trailer tongue value.

Abstract: Methods and systems are provided for estimating vehicle parameters of a vehicle. A maximum desired vehicle acceleration and a minimum excitation acceleration in a first direction are determined. The minimum excitation acceleration is associated with generating an estimated vehicle parameter. A first control input for transmission to an advanced driver assistance system (ADAS) to apply a temporary excitation acceleration that is greater than the minimum excitation acceleration and less than the maximum desired vehicle acceleration is generated. The estimated vehicle parameter is generated using a vehicle parameter estimation observation model based on vehicle data received from at least one vehicle sensor. The vehicle data is generated in response to the application of the temporary excitation acceleration to the vehicle. The estimated vehicle parameter is transmitted to the ADAS of the vehicle for replacement of a previous vehicle parameter at the ADAS with the estimated vehicle parameter.

Abstract: Methods and systems are provided for a vehicle. In one embodiment, a method includes: initiating, by a processor, steering excitation according to a pattern while the vehicle is stationary; learning, by the processor, a load associated with a front axle of the vehicle based on the steering excitation; translating, by the processor, the load associated with the front axle of the vehicle to a load associated with a tongue of a trailer, and generating, by the processor, a trailer tongue load value based on the load associated with the tongue of the trailer.

Abstract: A system and method for vehicle control adaptation to external environmental conditions includes receiving, by a controller, weather and roadway condition data, from an external source. The weather and roadway condition data includes a sustained wind velocity, a sustained wind direction, and a wind gust level for a location of the vehicle. The controller receives vehicle measurement data from one or more sensors situated within the vehicle and determines a criticality of a wind impact on the vehicle based on the weather and roadway data and the vehicle measurement data. The controller than generates feedback and/or a control based on the criticality of the wind impact.

Abstract: A system and method for a vehicle control adaptation to a crosswind and a wind gust including a controller situated within a vehicle to receive wind data inputs. The wind data inputs are based on a location of the vehicle and include a sustained wind velocity, a sustained wind direction, and a wind gust level. The controller further receives vehicle measurement data from one or more sensors situated within the vehicle and determines a wind impact on the vehicle based on the wind data inputs and the vehicle measurement data. The controller further compensates for the wind impact by a feedforward control in response to a low bandwidth component of the wind data inputs and by a feedback control in response to a high bandwidth component of the wind data inputs. The controller generates a feedback and/or a control based on the wind impact.

Abstract: Methods and systems are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, that a lane centering feature is active in the vehicle; identifying, by the processor, a pattern of steering wheel torque; determining, by the processor, a driver requested offset based on a location of the vehicle and a location of a center of the lane; applying, by the processor, the driver requested offset to a planned trajectory of the vehicle; evaluating, by the processor, one or more duration conditions; and in response to the evaluating, selectively generating, by the processor, a control signal based on the planned trajectory with the driver requested offset.

Abstract: Systems and methods for controlling a vehicle are provided. The systems and methods provide a vehicle dynamics model that relates at least one input vehicle dynamics variable to at least one output vehicle dynamics variable. The systems and methods detect a crosswind impacting the vehicle by detecting a disturbance associated with the vehicle dynamics model caused by the crosswind and adapt control of the vehicle based on the detecting the crosswind impacting the vehicle.

Abstract: Methods and systems are provided for controlling a vehicle comprising an Electric Power Steering System (EPS). In an embodiment, a method includes learning, by a processor, a non-linearity of a boost factor associated with the EPS; determining, by the processor, a deboost factor based on an inverse relationship of the learned non-linearity of the boost factor associated with the EPS; and generating, by the processor, a steering command to the EPS based on the deboost factor.

Abstract: Methods and systems are provided for determining and mitigating vehicle pull force from passing other vehicles.

Abstract: In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for lateral control of a steering system includes identifying at least one parameter of at least one lateral control feature that results in an optimized value in an outcome of control for a lateral control feature enabling robustness to an uncertainty; adaptively adjusting an output control signal generated by a vehicle trajectory controller coupled to the steering controller, by quantifying the uncertainty of an uncertain value in a lateral control feature; and sending a control command including at least a torque control or a wheel angle control to compensate for the uncertainty of the at least one uncertain value in the configuration of components of an electronic power steering (EPS) system associated with the vehicle variant by correcting at least one parameter of the at least one lateral control feature.

Abstract: Automated driver assistance systems and methods for towing predict vehicle/trailer instabilities and adapt automated driving control to avoid them. A tow-vehicle includes a controller that, through an actuator system, controls speed and/or steering. A map system and/or a sensor system monitor a roadway on which the vehicle is travelling to identify a road profile located ahead of the vehicle over a prediction horizon. A projected trajectory for navigating the vehicle through the road profile over the prediction horizon and considering environmental conditions is determined. Before travel over the road profile, whether the projected trajectory through the road profile will result in exceeding a vehicle dynamic threshold is determined. When the projected trajectory will result in exceeding the vehicle dynamic threshold through the road profile, a control action is determined to prevent instability and optimize driver experience. The vehicle is operated through the road profile using the control action.

Abstract: Systems and methods for controlling a vehicle are provided. The systems and methods provide a vehicle dynamics model that relates at least one input vehicle dynamics variable to at least one output vehicle dynamics variable. The systems and methods detect a crosswind impacting the vehicle by detecting a disturbance associated with the vehicle dynamics model caused by the crosswind and adapt control of the vehicle based on the detecting the crosswind impacting the vehicle.

Abstract: In accordance with an exemplary embodiment, a method is provided that includes: obtaining sensor data via one or more sensors of a vehicle; determining, via a processor of the vehicle, a driving style of a driver of the vehicle based on use of the sensor data over multiple periods of time; and determining, via the processor, an indication as to whether the driver is attempting to spoof a control system of the vehicle with respect to one or more automated features of the vehicle, based on the sensor data and the style of the driver.

Abstract: In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for lateral control of a steering system includes identifying at least one parameter of at least one lateral control feature that results in an optimized value in an outcome of control for a lateral control feature enabling robustness to an uncertainty; adaptively adjusting an output control signal generated by a vehicle trajectory controller coupled to the steering controller, by quantifying the uncertainty of an uncertain value in a lateral control feature; and sending a control command including at least a torque control or a wheel angle control to compensate for the uncertainty of the at least one uncertain value in the configuration of components of an electronic power steering (EPS) system associated with the vehicle variant by correcting at least one parameter of the at least one lateral control feature.