A vehicle includes an electric machine and a controller. The controller is programmed to, in response to releasing an accelerator pedal during a first driving scenario that is based on a first set of navigation data, increase regenerative braking torque of the electric machine to a first value. The controller is further programmed to, in response to releasing the accelerator pedal during a second driving scenario that is based on a second set of navigation data, increase the regenerative braking torque of the electric machine to a second value that is less than the first value.

In an exemplary embodiment, a system is provided that includes one or more first sensors, one or more second sensors, and a processor disposed onboard a vehicle. The first sensors are configured to at least facilitate obtaining first sensor data with regard to an external environment outside the vehicle. The second sensors are configured to at least facilitate obtaining second sensor data with regard to one or more eyes of a driver of the vehicle. The processor is configured to at least facilitate: determining a predicted gaze angle of the one or more eyes of the driver based on the external environment outside the vehicle, using the first sensor data; determining a measured gaze angle of the one or more eyes of the driver, using the second sensor data, and controlling one or more vehicle actions based on a comparison of the predicted and measured gaze angles.

Systems and methods for controlling a vehicle. The system includes a plurality of sensors and an electronic controller. The electronic controller is configured to receive data from the plurality of sensors and determine a target vehicle travel direction of the vehicle based on the received data. The electronic controller then determines a heading error based on the target travel direction, determines a heading error derivative, and generates a vehicle control command based on the heading error and the heading error derivative.

A method for determining a slip angle λ.sub.r of a rear wheel of a single-track motor vehicle for the purpose of traction control of the rear wheel of the single-track motor vehicle by means of a closed loop control Is provided. The slip angle λ.sub.r of the rear wheel is determined as a feedback value of the closed loop using at least one of three model-based steps. A slip angle λ.sub.r1, λ.sub.r2 or λ.sub.r3 is determined by one of the three steps representing the slip angle λ.sub.r or the slip angle λ.sub.r is determined from at least two of the slip angles λ.sub.r1, λ.sub.r2 and λ.sub.r3.

A vehicle includes a propulsion system configured to selectively drive at least one wheel of a plurality of wheels, a brake system configured to selectively brake at least one wheel of the plurality of wheels, and a dig lock controller in signal communication with the propulsion system and the brake system. The dig lock controller is configured to, based on a driver request, selectively perform a vehicle rotating dig lock operation by braking one wheel of the plurality of wheels while driving at least one other wheel of the plurality of wheels to move the vehicle laterally about a pivot point at least partially defined by the braked wheel.

A control system is provided for a vehicle including an autonomous emergency braking system, characterized in that the control system includes: a brake control arrangement adapted to apply a friction-estimating braking when the autonomous emergency braking system has initiated a possible intervention; a brake force capacity estimation arrangement adapted to estimate the brake force capacity of the vehicle as a function of longitudinal wheel slip based on the applied friction-estimating braking; a road information arrangement adapted to obtain information about road curvature ahead of the vehicle; a lateral tyre force prediction arrangement adapted to predict lateral tyre force needed during autonomous emergency braking based on the obtained information about road curvature; and a brake strategy adaptation arrangement configured to adapt the brake strategy of the autonomous emergency braking system based on the estimated brake force capacity and the predicted lateral tyre force needed.

Systems and methods for controlling a vehicle. The system includes a plurality of sensors and an electronic controller. The electronic controller is configured to receive data from the plurality of sensors and determine a target vehicle travel direction of the vehicle based on the received data. The electronic controller then determines a heading error based on the target travel direction, determines a heading error derivative, and generates a vehicle control command based on the heading error and the heading error derivative.

A vehicle includes an electric machine and a controller. The controller is programmed to, in response to releasing an accelerator pedal during a first driving scenario that is based on a first set of navigation data, increase regenerative braking torque of the electric machine to a first value. The controller is further programmed to, in response to releasing the accelerator pedal during a second driving scenario that is based on a second set of navigation data, increase the regenerative braking torque of the electric machine to a second value that is less than the first value.

This travel control device includes: a road determining unit which determines whether a road including a downward slope along which a vehicle is traveling includes a first curved road and a second curved road; and a travel control unit which, if the road determining unit has determined that the road contains the first curved road and the second curved road, causes the vehicle, when being caused to travel in such a way as to maintain a target speed, to decelerate at a curved road entry side of the first curved road and to coast from a curved road exit side of the first curved road, such that the vehicle can pass through the first curved road.

A method for automatically activating a brake application in a vehicle includes using at least one detection device, detecting at least one object in the environment of the vehicle and, using at least one processor, determining that a vehicle is on a collision course with the at least one object, determining an S-shaped avoidance trajectory of the vehicle and at least one avoidance criterion based at least in part on the S-shaped avoidance trajectory, determining two extreme values of a transverse acceleration of the vehicle from the S-shaped avoidance trajectory, determining whether the at least one avoidance criteria is fulfilled by comparing the two extreme values with a threshold value, wherein the avoidance criteria is fulfilled when the two extreme values fall below the threshold value, and activating an automatic brake application in the vehicle when an activation criterion for the automatic brake application is fulfilled.