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 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: 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.