Abstract: Vehicles and related systems and methods are provided for predicting a future maneuver expected to be executed by a driver. One method involves determining a combined probability for a potential maneuver based on constituent probabilities corresponding to different vehicle state variables, and environmental conditions using one or more tuning parameters specific to the respective combination of maneuver and vehicle state variable, determining an adjusted probability for the potential maneuver based at least in part on the combined probability and one or more contextual state variables corresponding to a current operating context for the vehicle, adapted to driver behavior and driving style, identifying the potential maneuver as an expected maneuver to be executed by a driver of the vehicle based on the adjusted probability, and automatically initiating one or more actions in a manner that is influenced by the expected maneuver.

Abstract: A turn signal indication system includes: at least one turn signal indicator; an adaptive maneuver prediction module configured to predict that a host vehicle is to make a turn or change lanes; an activation decision module configured to, based on the prediction, determine whether the host vehicle is to make a left turn, make a right turn, change to a left lane, or change to a right lane; and a signal indication module configured to automatically activate the at least one turn signal indicator based on the determination of whether the host vehicle is to make a left turn, make a right turn, change to a left lane, or change to a right lane.

Abstract: Methods and systems are provided for determining and mitigating vehicle pull force from passing other vehicles. In an exemplary embodiment, methods and systems are provided that include: obtaining sensor data via one or more sensors of a vehicle, the sensor data including both perception sensor data and vehicle dynamics sensor data; identifying, via a processor, one or more additional vehicles to be passed by the vehicle, using the perception sensor data; and predicting and determining, via the processor, a pull force for the vehicle that is caused by the passing of the vehicle by the one or more additional vehicles along with an impact of the pull force on the vehicle, based on both the perception sensor data and the vehicle dynamics sensor data, and control the vehicle to proactively mitigate the pull force on the vehicle; and vehicle with trailer when towing.

Abstract: A vehicle system includes a control module configured to receive data from a sensor indicative of a torque applied to the steering wheel, calculate a torque rate based on the applied torque, calculate a left evasive steering probability of the driver intending to steer the vehicle to the left and a right evasive steering probability of the driver intending to steer the vehicle to the right based on the torque, the torque rate, and a modeled relationship between the torque and the torque rate, compare the left evasive steering probability and the right evasive steering probability to determine a directional steering intent of the driver, and transmit a signal to a threat avoidance steering control module for controlling the vehicle. Other example vehicle systems and methods for predicting driver intent in evasive steering maneuvers are also disclosed.

Abstract: A method for controlling a steer-by-wire system, comprising receiving vehicle data and a steering request from a vehicle, determining whether a steering road wheel actuator of the vehicle has failed using the vehicle data, in response to determining that the steering road wheel actuator of the vehicle has failed, determining a target wheel slip of the vehicle based on the steering request, maintaining the target wheel slip of the vehicle while the vehicle is in motion; and adjusting a wheel speed of at least one wheel of the vehicle based on a feedback signal, wherein the feedback signal is indicative of a road wheel angle while the vehicle is in motion.

Abstract: A method for powerhop identification and mitigation includes receiving sensor data of a vehicle, such as wheel speed; determining a wheel jerk characteristics of the vehicle based on the wheel speed; determining a ride height of the vehicle; determining whether the vehicle is experiencing powerhop based on the wheel jerk characteristics and the ride height of the vehicle; and in response to determining that the vehicle is experiencing powerhop, adjusting a torque of the vehicle to mitigate the powerhop.

Abstract: A vehicle control system for driving behavior vehicle detection includes at least one vehicle object detector configured to detect motion of target vehicles within an object detection range of a host vehicle, a vehicle user interface configured to display a visual indication to a driver of the host vehicle, and a vehicle control module configured to obtain detected motion parameters of the one or more target vehicles via the at least one vehicle object detector, determine a hazard index for each of the one or more target vehicles, according to the detected motion parameters, and in response to the hazard index exceeding a specified threshold value for at least one of the one or more vehicles, update the vehicle user interface to provide a visual notification of identified driving behavior exceeding the specified threshold value for the at least one of the one or more target vehicles.

Abstract: A fault remediation system for a vehicle includes one or more controllers in electronic communication with one or more consumed interfaces and one or more provided interfaces. The one or more controllers execute instructions to receive, from the one or more consumed interfaces, a consumed signal and perform fault detection upon the consumed signal to determine the presence of an active fault within the consumed signal. In response to detecting an active fault with the consumed signal, the one or more controllers select a remediation state from a group of two or more prospective remediation states based on a significance analysis of the consumed signal. The one or more controllers evaluate a relevant subfunction that corresponds to the consumed signal that the remediation state addresses for the presence of remediation tolerance and generates arbitration instructions based on the remediation tolerance.

Abstract: Vehicles and related systems and methods are provided for predicting a future maneuver expected to be executed by a driver. One method involves determining a combined probability for a potential maneuver based on constituent probabilities corresponding to different vehicle state variables, and environmental conditions using one or more tuning parameters specific to the respective combination of maneuver and vehicle state variable, determining an adjusted probability for the potential maneuver based at least in part on the combined probability and one or more contextual state variables corresponding to a current operating context for the vehicle, adapted to driver behavior and driving style, identifying the potential maneuver as an expected maneuver to be executed by a driver of the vehicle based on the adjusted probability, and automatically initiating one or more actions in a manner that is influenced by the expected maneuver.

Abstract: A system to map control system configurations for vehicle torque actuators includes a control unit of a vehicle. A first torque actuator of a first power unit delivers torque to rear wheels of the vehicle, and a second torque actuator of a second power unit delivers torque to front wheels of the vehicle. Multiple input items are received by the control unit, including: multiple configurations; one or more operating points; multiple configuration classifications including: a torque constraint; a torque reference; and an enabling condition; and identification of one or more priority assignments. The priority assignments are applied to the configurations, the operating points and the configuration classifications to determine a control action as sensed vehicle operating conditions change. Individual ones of the configurations are mapped to a normalized torque split ratio.

Abstract: A method for probabilistic autonomous vehicle control includes receiving a plurality of unfiltered sensor signals from a sensor system of a vehicle and determining, in real time, a failure probability of the sensor system using the unfiltered sensor signals. The method further includes determining a failure probability of a plurality of estimation signals at each time step using the failure probability of the sensor system and determining a failure probability of a plurality of Advanced Driver Assistance System (ADAS) subfunction commands using the failure probability of the plurality of estimation signals at each time step. Further, the method includes determining remedial actions for the plurality of ADAS subfunction commands based on the failure probability of the plurality of ADAS subfunction commands.

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: A system for adaptive tire force prediction in a motor vehicle includes a control module that executes program code portions that receive real-time static and dynamic data from motor vehicle sensors, that model forces at each tire of the motor vehicle at one or more incremental time steps, that estimate actual forces at each tire of the motor vehicle at each of the one or more incremental time steps, that adaptively predict tire forces at each tire of the motor vehicle at each of the one or more incremental time steps, that generate one or more control commands for actuators of the motor vehicle, that capture discrepancies between real-time force estimations and nominal force calculations at each tire of the motor vehicle, and that apply compensation parameters to reduce tracking errors in the one or more control commands to the one or more actuators of the motor vehicle.

Abstract: A data health monitoring and recording system for a vehicle includes a data recording infrastructure and one or more controllers. The one or more controllers include a multi-layer control software architecture including two or more software layers. The one or more controllers execute instructions to monitor, by a health monitoring structure that is part of the multi-layer control software architecture, one or more parameters calculated by each of the two or more software layers. The one or more controllers compare a respective parameter of a respective software layer with a predetermined corresponding performance metric for a required time horizon. In response to determining the respective parameter of the respective software layer does not meet the predetermined corresponding performance metric for the required time horizon, a trigger that instructs the data recording infrastructure to record the parameters calculated by each of the two or more software layers is generated.

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

Abstract: A fault remediation system for a vehicle includes one or more controllers in electronic communication with one or more consumed interfaces and one or more provided interfaces. The one or more controllers execute instructions to receive, from the one or more consumed interfaces, a consumed signal and perform fault detection upon the consumed signal to determine the presence of an active fault within the consumed signal. In response to detecting an active fault with the consumed signal, the one or more controllers select a remediation state from a group of two or more prospective remediation states based on a significance analysis of the consumed signal. The one or more controllers evaluate a relevant subfunction that corresponds to the consumed signal that the remediation state addresses for the presence of remediation tolerance and generates arbitration instructions based on the remediation tolerance.

Abstract: A data analytics system for a vehicle includes one or more controllers having a multi-layered control software architecture including two or more software layers and a health monitoring structure. The one or more controllers execute instructions to receive a fault, and in response to receiving the fault, generate, by the health monitoring structure, a plurality of unique triggers as the fault propagates throughout the multi-layered control software architecture. The controllers build a network including a plurality of propagation paths and identify one or more main propagation paths that are part of the network based on a data analysis of a mock big data set. The one or more controllers build a complete propagation pathway including two or more main propagation paths. In response to determining only one main propagation path, the controllers determine a root cause of the fault based on the only one main propagation path.

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: A system for adaptive tire force prediction in a motor vehicle includes a control module that executes program code portions that receive real-time static and dynamic data from motor vehicle sensors, that model forces at each tire of the motor vehicle at one or more incremental time steps, that estimate actual forces at each tire of the motor vehicle at each of the one or more incremental time steps, that adaptively predict tire forces at each tire of the motor vehicle at each of the one or more incremental time steps, that generate one or more control commands for actuators of the motor vehicle, that capture discrepancies between real-time force estimations and nominal force calculations at each tire of the motor vehicle, and that apply compensation parameters to reduce tracking errors in the one or more control commands to the one or more actuators of the motor vehicle.

Abstract: An interferon-beta (IFN?) analog peptide including a plurality of amino acid substitutions in an amino acid sequence of IFN? as set forth in SEQ ID No. 4. The IFN? analog peptide may include a plurality of amino acid substitution in the amino acid sequence of IFN? in at least one position of 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 22, 23, 24, and combinations thereof, numbered in accordance with SEQ ID No. 4.