Abstract: A method for determining a lane centerline includes detecting a remote vehicle ahead of a host vehicle includes determining a trajectory of the remote vehicle that is ahead of the host vehicle, extracting features of the trajectory of the remote vehicle that is ahead of the host vehicle to generate a trajectory feature vector, and classifying the trajectory of the remote vehicle that is ahead of the host vehicle using the trajectory feature vector to determine whether the trajectory of the remote vehicle includes a lane change. The method further includes determining a centerline of the current lane using the trajectory of the remote vehicle that does not include the lane change and commanding the host vehicle to move autonomously along the centerline of the current lane to maintain the host vehicle in the current lane.

Abstract: A driver assistance system in a host vehicle is provided. The driver assistance system is configured to: track a plurality of obstacles in front of the host vehicle; receive host vehicle driver selection of a follow operating mode for the driver assistance system via a human machine interface (HMI); identify a candidate lead vehicle from the plurality of tracked obstacles; provide, via the HMI, a line of sight view in front of the host vehicle that includes the candidate lead vehicle; receive host vehicle driver selection of the candidate lead vehicle as a lead vehicle to follow; adjust a desired trajectory calculated by the driver assistance system to obtain and maintain a desired headway between the lead vehicle and the host vehicle; and generate control signals for vehicle actuators to control the host vehicle to follow the desired trajectory to follow the lead vehicle.

Abstract: Methods, systems and a vehicle control system for a vehicle is provided. The vehicle control system includes an Electric Power Steering System (EPS), and a sensor system including a vehicle dynamics sensor configured to provide vehicle dynamics data and a temperature sensor configured to provide measured outside temperature. A processor is in operable communication with the EPS and the sensor system. The processor is configured to execute program instructions. The program instructions are configured to cause the processor to: execute an automated lateral control algorithm based on the vehicle dynamics data to generate a steering command, adapt the automated lateral control algorithm based on the measured outside temperature so that the steering command compensates for changing lateral response of the vehicle as a result of changing environmental temperature; and provide the steering command to the EPS, wherein the EPS is configured to laterally control the vehicle based on the steering command.

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: Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves a controller associated with a vehicle identifying a visual attention state associated with a driver of the vehicle based at least in part on output of an imaging device onboard the vehicle, determining, based at least in part on the visual attention state, a driver lane preference corresponding to an adjacent lane in a visual attention direction relative to a current lane of travel for the vehicle, adjusting a priority associated with the adjacent lane corresponding to the driver lane preference and autonomously operating one or more actuators onboard the vehicle to initiate maneuvering the vehicle from the current lane in a manner that is influenced by the adjusted priority associated with the adjacent lane.

Abstract: An operator offset request for automatic lane following system of an automobile vehicle includes an operator offset request defining a lateral offset distance away from a first travel-line of an automobile vehicle in a displacement path moved until a second travel-line of the automobile is achieved. An operator input setting system when actuated generates an initiation signal forwarded to a controller to input the operator offset request. An achievement signal is generated to signify a selected offset position selected by a vehicle operator for the offset distance is achieved. A vehicle return travel path is elected by the vehicle operator to return the automobile vehicle to the first travel-line from the second travel-line by a return displacement path which is opposite to the displacement path.

Abstract: A method for generating a steering command for controlling a vehicle is provided.

Abstract: Methods, systems and a vehicle control system for a vehicle is provided. The vehicle control system includes an Electric Power Steering System (EPS), and a sensor system including a vehicle dynamics sensor configured to provide vehicle dynamics data and a temperature sensor configured to provide measured outside temperature. A processor is in operable communication with the EPS and the sensor system. The processor is configured to execute program instructions.

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 various embodiments, methods, systems, and vehicle apparatuses are provided. A method for adaptive control of electronic power steering (EPS) including sending, a torque control to an EPS that is based on input control signals from a vehicle trajectory control unit and a steering assistive control unit when the vehicle is coupled to a trailer engaging in a trailering action; configuring the steering assistive control unit, to generate a control signal based on an algorithm using an adaptive factor that models steering dynamics impacted by the trailer while engaging in the trailering action and modeling by the steering assistive control unit, an adaptive damping factor modeled on a tongue weight of a trailer coupled to a hitch of the vehicle wherein the hitch reduces a force applied to a vehicle front axle.

Abstract: A vehicle and a system method of operating the vehicle is disclosed. The system includes a monitoring module and a mitigation module operating on a processor. The monitoring module is configured to measure a degradation in an operation parameter of the vehicle, the vehicle operating in a first state based on a first value of a set of adaptive parameters. The mitigation module is configured to determine a threat to the vehicle due to operating the vehicle in the first state with the degradation in the operation parameter and adjust the set of adaptive parameters from the first value to a second value that mitigates the threat to the vehicle, wherein the processor operates the vehicle in a second state based on the second value.

Abstract: In exemplary embodiments, methods, systems, and vehicles are provided that include: one or more sensors disposed onboard a vehicle and configured to at least facilitate obtaining sensor data for the vehicle; one or more location systems configured to at least facilitate obtaining location data pertaining to a location of the vehicle; a computer memory configured to store map data pertaining to a path corresponding to the location; and a processor disposed onboard the vehicle and configured to at least facilitate: generating an elevation profile along the path using the sensor data and the map data; and providing instructions for controlling the vehicle using the elevation profile.

Abstract: A method of operating a vehicle of determining whether the vehicle is operating in a road segment with a low visibility condition to cause a loss of input of sensor data to a vehicle controller that operates an assist feature, activating one or more adaptive alerts based on a road departure risk of the vehicle, and driver use of the assist feature in the upcoming road segment, wherein the road departure risk is determined by calculating a road departure risk index that compares an estimated vehicle path based on the vehicle state data with a probabilistic vehicle path for the upcoming road segment; and predicting whether will operate within an acceptable path in the upcoming road segment; and tracking the vehicle in the upcoming road segment based on vehicle navigation data to provide at least one adaptive alert based on a prediction of the road departure risk.

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: Systems and methods for smoothing automated lane change (ALC) operations. A mission planner, upon receipt of an ALC request, sends a ALC heads up signal to a lateral control. The mission planner then begins confidence building operations, for a preprogrammed duration of time, and awaits an ALC ready signal from the lateral control. The lateral control, upon receipt of the ALC heads up, calculates an index of readiness, RALC, as a function of the requested ALC, a current trajectory, and a lane centering control path. When RALC is less than or equal to a readiness threshold, Rt, the lateral control sends the ALC ready signal. When RALC is greater than Rt, the lateral control generates a steering correction and applies the steering correction to reduce the RALC and thereby stabilize the vehicle and send the ALC ready signal. Upon receiving the ALC ready signal, the ALC operation is executed.

Abstract: In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing a lane-keeping assist unit of a vehicle by receiving information of a plurality of road geometries, and driving scenarios wherein at least one driving scenario is combined with a target path that is parallel and biased from a lane center by a desired path offset, and a reference path for guiding the vehicle to merge with the target path; adapting the reference path with control based on a selected road geometry and driving scenario; adjusting the desired path offset by considering lane markings during an intervention for an inner curve, an outer curve and a straight road; controlling the vehicle trajectory for enabling the vehicle to track the reference path; exiting the intervention once a trajectory tracking performance by the vehicle is confirmed; and aborting once an instability of the trajectory tracking performance is confirmed.

Abstract: A method of operating a vehicle of determining whether the vehicle is operating in a road segment with a low visibility condition to cause a loss of input of sensor data to a vehicle controller that operates an assist feature, activating one or more adaptive alerts based on a road departure risk of the vehicle, and driver use of the assist feature in the upcoming road segment, wherein the road departure risk is determined by calculating a road departure risk index that compares an estimated vehicle path based on the vehicle state data with a probabilistic vehicle path for the upcoming road segment; and predicting whether will operate within an acceptable path in the upcoming road segment; and tracking the vehicle in the upcoming road segment based on vehicle navigation data to provide at least one adaptive alert based on a prediction of the road departure risk.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a semi-automated mode; receiving, by the processor, driver input including a measured driver torque; receiving, by the processor, threat data; determining, by the processor, a steering command bias based on an impedance relation, impedance parameters, the measured driver torque, and the threat data; determining, by the processor, a reference angle based on the steering command bias and a desired angle; and generating, by the processor, control data to control the steering of the autonomous vehicle based on the reference angle.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a path-based automated driving assist mode; receiving, by the processor, driver input including a driver torque; classifying, by the processor, an operation mode based on a type of the path-based automated driving assist mode; determining, by the processor, an override threshold for overriding the path-based automated driving assist mode on a first lateral side of the autonomous vehicle based on the operation mode; determining, by the processor, a driver override status based on the override torque threshold; and generating, by the processor, control signals to control the steering of the autonomous vehicle based on the driver override status and the driver torque.

Abstract: A system includes a computing device. The computing device includes a processor and a memory, the memory including instructions such that the processor is configured to: transform vehicle dynamics data to corresponding roadway geometry data, calculate a rationalization value based on a difference between the roadway geometry data and map-based roadway geometry data, and determine whether to modify a vehicle state based on the rationalization value.