A processor unit (3) is configured to execute an autonomous driving function of the motor vehicle (1) during a first instance such that the motor vehicle (1) travels autonomously based at least in part on the execution of the autonomous driving function. The processor unit (3) is further configured to store a driver intervention, the driver intervention being performed by a driver of the motor vehicle (1) during the first instance while the motor vehicle (1) travels autonomously based on the execution of the autonomous driving function. Additionally, the processor unit (3) is configured to execute the autonomous driving function during a second instance, subsequent to the first instance, based at least in part on the stored driver intervention such that the motor vehicle (1) travels autonomously based at least in part on the execution of the autonomous driving function according to the stored driver intervention.

A method for operating a hybrid drive train includes ascertaining an actual state vector of an internal combustion engine of the hybrid drive train; ascertaining a target power of the internal combustion engine; determining a target fuel mass flow for the internal combustion engine as a function of the target power of the internal combustion engine; determining a limit fuel mass flow of the internal combustion engine as a function of an emission limiting value, the target fuel mass flow, and the actual state vector of the internal combustion engine; determining a setpoint fuel mass flow by forming a minimum value as a function of the target fuel mass flow and the limit fuel mass flow; and setting the setpoint fuel mass flow at the internal combustion engine.

A method for controlling switching of steering control rights of an autonomous vehicle, may include: performing a control to synchronize a steering angle of a steering wheel and a steering angle of a road wheel, when switching of the steering control rights from an automated driving mode to a manual driving mode is requested. The method further includes: detecting an error value between the steering angle of the steering wheel and the steering angle of the road wheel, when a hands-on state in which the steering wheel is gripped is detected in the synchronization process. In addition, the method further includes: performing a control to switch the mode of the autonomous vehicle to the manual driving mode, when the error value is less than a preset value.

Systems and methods of autonomously controlling a vehicle across the grip driving and drift driving operating ranges, are provided. The contemplated autonomous control can be effectuated using a closed-loop control system. In some embodiments, closed-loop control may be accomplished by deriving control laws involving sideslip angle, yaw rate, wheel speed, and other vehicle states. These control laws may be used to control the vehicle in a stable drift condition.

A method and system are provided for controlling braking a vehicle in an autonomous driving mode. For instance, the vehicle is controlled in the autonomous driving mode according to a first braking control mode using a first model to adjust the position of a vehicle relative to an expected position of a current trajectory of the vehicle. Using a second model how close to a maximum deviation threshold the vehicle would come if a maximum braking strength for the vehicle was applied is predicted. The maximum deviation threshold provides an allowed forward deviation from the current trajectory. Based on the prediction, the vehicle is controlled in the autonomous driving mode according to a second braking control mode by automatically applying the maximum braking strength.

A driving support apparatus includes a feedback control system. The feedback control system calculates each operation amount of a brake actuator and a drive actuator so as to match an actual value of a control amount indicating a motion state of the vehicle to a target value. The target value of the control amount is set so as to stop the vehicle to a target stop position. The driving support apparatus sets, when remaining distance from a current position of the vehicle to the target stop position is first distance, a feedback gain of the feedback control system to large value, as compared with the feedback gain set when the remaining distance is second distance which is greater than the first distance.

A vehicle cruise control method and apparatus related to the technical field of vehicle manufacturing are provided. The method resolves a problem of relatively large energy consumption during vehicle cruise control.

Provided is a processor-implemented method and a processor in a vehicle for estimating the value of a quantity for which a physical sensor is not available for measurement. The method includes: receiving a plurality of measured signals representing values of measurable variables; computing, in real-time, time derivatives of the measured signals; and applying a trained feedforward neural network, in real-time, to estimate values for a plurality of unmeasurable variables, the unmeasurable variables being variables that are unmeasurable in real-time, the feedforward neural network having been trained using test data containing time derivatives of values for the measurable variables and values for the unmeasurable variables; wherein the vehicle uses the estimated values for the unmeasurable variables for vehicle operation.

A method of distributing driving force of a four wheel drive (4WD) eco-friendly vehicle includes determining a first allowable range of driving force for each driving force based on determination of travel stability, determining a second allowable range of driving force for each driving wheel based on system limitations of at least one of the first driving source or the second driving source, determining a range of available driving force of the first driving wheel based on the first allowable range of driving force and the second allowable range of driving force, determining first target driving force of the first driving wheel in consideration of efficiency of the first driving source within the range of available driving force, and determining second target driving force of the second driving wheel based on the first target driving force and requested torque.

The steering controller calculates a target steering angle for causing the own vehicle to travel along the target course acquired by the traveling road information acquirer. The braking/driving force controller calculates a target yaw moment for correcting the positional displacement of the own vehicle from the target course. The control ratio setter sets a control ratio of cooperative control of steering control and yaw moment control based on the deviation amount of a lateral position of the own vehicle from the target course. The control ratio is set so that when the positional displacement of the own vehicle from the target course is relatively small, the ratio at which the steering control occupies is reduced, and the yaw moment control is dominant, and when the positional displacement of the own vehicle from the target course is relatively large, the ratio at which the steering control occupies is increased.