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: Systems and methods of alerting an occupant of a vehicle to an obstacle to a side of the vehicle. The systems and methods include receiving turn indicating data from at least one vehicle system, receiving perception data from a perception system of the vehicle, predicting a vehicle turn based on the turn predicting data, generating an obstacle alert, which is output through an output device of the vehicle, when an obstacle is detected within a first sized detection zone or a second sized detection zone using the perception data, and switching from using the first sized detection zone to using the second sized detection zone for generating the obstacle alert in response to predicting the vehicle turn. The second sized detection zone is extended as compared to the first sized detection zone.

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 controlling a vehicle comprising an Electric Power Steering System (EPS). In an embodiment, a method includes determining, by the processor, a lateral acceleration reference based on reference path data and vehicle dynamics data; determining, by the processor, coefficient data based on at least one of measured lateral acceleration data and measured steering angle data, and measured torque data; determining, by the processor, a torque command based on the coefficient and the reference lateral acceleration data; and generating, by the processor, a steering command to the EPS based on the torque command.

Abstract: Methods and systems are provided for alerting a driver to take control of a vehicle. In one embodiment, a method includes: determining, by a processor, a driver alertness level based on a weighted summation of a first set of feature data; determining, by the processor, a required alertness level based on a weighted summation of a second set of feature data; determining, by the processor, an escalation index based on the driver alertness level and the required alertness level; and generating, by the processor, alert notification data based on the escalation index.

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

Abstract: A system and method are provided for controlling a vehicle. In one embodiment, a system includes: a sensor system configured to generate sensor data sensed from an environment of the vehicle; and a control module configured to, by a processor, based on the sensor data, identify a gap in a lane line on a roadway in front of the vehicle, determine at least two points within the gap, determine a curve between the at least two points, compute a correlation measure based on the curve, generate lane stitching data based on data based on the curve and an evaluation of the correlation measure, and controlling one or more components of the vehicle based on the stitching data.

Abstract: An autonomous vehicle and a system and method for operating the autonomous vehicle. The system includes a sensor and a processor. A disturbance force or yaw moment is received on the autonomous vehicle. The sensor measures a position of the autonomous vehicle within a lane of a road with respect to road boundaries and lane markings. The processor is configured to resist an effect of a disturbance force or yaw moment received on the autonomous vehicle. The processor minimizes a tracking error between a path of the autonomous vehicle and an initial track lane, wherein resisting the effect creates an inflection point in the path of the autonomous vehicle, establishes a final track lane at a closer of a lateral position of the inflection point and a lane center to the initial track lane, and tracks the path to the final track lane.

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.

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. The systems and methods receive static object detection data from a perception system. The static object detection data includes a first representation of a static object at a current time and a second representation of the static object at an earlier time.

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 vehicle parameter estimation module is configured to generate a first estimate of a vehicle parameter based on operating conditions of a vehicle measured or estimated at a first time. The vehicle parameter includes at least one of a tire cornering stiffness of the vehicle and an understeer coefficient of the vehicle. The vehicle parameter estimation module is also configured to determine an error value based on the first estimate of the vehicle parameter and values of the vehicle operating conditions measured or estimated at a second time that is later than the first time. The vehicle parameter estimation module is further configured to generate a second estimate of the vehicle parameter based on the first estimate of the vehicle parameter and the error value. A vehicle actuator control module is configured to control an actuator of the vehicle based on the second estimate of the vehicle parameter.

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 implementing adaptive cruise control (ACC) established by Reinforcement Learning (RL) including executing, by a processor, adaptive cruise control to receive a set of vehicle inputs about a host vehicle's operating environment and current operations; identify, by the processor, a target vehicle operating in the host vehicle environment and quantifying a set of target vehicle parameters about the target vehicle derived from sensed inputs; modeling a state estimation of the host vehicle and the target vehicle by generating a set of speed and torque calculations about each vehicle; generating a set of results from at least one reward function based on one or more modeled state estimations of the host and target vehicle; processing the set of results with driver behavior data established by RL to correlate one or more control actions to the driver behavior data.

Abstract: Systems and methods of alerting an occupant of a vehicle to an obstacle to a side of the vehicle. The systems and methods include receiving turn indicating data from at least one vehicle system, receiving perception data from a perception system of the vehicle, predicting a vehicle turn based on the turn predicting data, generating an obstacle alert, which is output through an output device of the vehicle, when an obstacle is detected within a first sized detection zone or a second sized detection zone using the perception data, and switching from using the first sized detection zone to using the second sized detection zone for generating the obstacle alert in response to predicting the vehicle turn. The second sized detection zone is extended as compared to the first sized detection zone.

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: 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.