An apparatus for deciding a steering intent of a driver is provided. The apparatus includes a processor configured to determine whether a driver intends to steer a vehicle based on sensing results of a stabilization state of a vehicle and whether a hand of the driver is positioned on a steering wheel of the vehicle, and a memory configured to store a preset reference value to determine the steering intent of the driver.

A method for adjusting a controller of a transportation vehicle includes receiving transportation vehicle state information and information about a current value of at least one variable controller parameter of the controller, calculating a setpoint value for the variable controller parameter, and outputting the setpoint value for the variable controller parameter. The calculating the setpoint value includes using an artificial neural network based on the transportation vehicle state information and the information about the current value of the variable controller parameter.

A vehicle control system including: a surrounding state detector is configured to detect a state of the surroundings, a first running assistor is configured to automatically control at least acceleration/deceleration or steering such that the subject vehicle can run along a route to a destination; a monitor is configured to monitor whether or not the first running assistor is in a predetermined state and limit an operation of the first running assistor in a case in which the first running assistor is in the predetermined state; and a second running assistor is configured to assist a occupant's driving on the basis of the result of the detection executed and perform steering control according to a relation between the subject vehicle and a lane in a case in which the first running assistor is determined as being in the predetermined state.

A vehicle control system includes a recognition unit that is configured to recognize nearby vehicles traveling around a subject vehicle, an automated driving control unit that is configured to implement a plurality of automated driving modes in which at least one of speed control and steering control of the subject vehicle is automatically implemented, the plurality of automated driving modes having different degrees of surroundings monitoring obligation of the subject vehicle imposed on an occupant of the subject vehicle, and a management unit that is configured to manage the surroundings monitoring obligation of the subject vehicle, the management unit being configured to reduce the surroundings monitoring obligation of the subject vehicle when vehicle platooning in which the subject vehicle travels while following a preceding vehicle traveling in front of the subject vehicle among the nearby vehicles recognized by the recognition unit is implemented by the automated driving control unit.

A vehicle control system includes a vehicle-mounted sensor, a map database, a control rule database, and an electronic control unit. The electronic control unit is configured to recognize the position of a vehicle on a map; control traveling of the vehicle by using one of a plurality of control rules based on the position of the vehicle on the map, map information, and a detection result of the vehicle-mounted sensor; recognize a road section in the traveling direction of the vehicle based on the position of the vehicle on the map and the map information; specify a control rule used in the road section based on the recognized road section and control rule data; and control traveling of the vehicle in the road section by using the specified control rule.

An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

A steering device includes a steering wheel, a torsion bar, a spiral cable, a torque sensor, and an electronic control unit. The electronic control unit is configured to compute a rotational angle of the steering wheel. The electronic control unit is configured to compute, as driver torque, a value that includes a sum obtained by adding torsion bar torque, a steering wheel inertial torque compensation value and a spiral cable torque compensation value. The steering wheel inertial torque compensation value is the product of a steering wheel inertial moment and a second-order differential value of the rotational angle of the steering wheel. The spiral cable torque is torque that acts on the steering wheel because of the spiral cable.

A method of controlling driving force of a vehicle includes estimating a first maximum road surface frictional coefficient based on a driving stiffness defined by a micro slip ratio and driving force of drive wheels, in a first driving state where the vehicle travels straight at a constant acceleration, estimating a second maximum road surface frictional coefficient based on a steering reaction force detected by an electric power steering device, in a second driving state different from the first state and where the vehicle is steered, estimating a third maximum road surface frictional coefficient to be a given value in a third driving state different from the first and second states and where an outdoor air temperature is above a determination temperature, and controlling the driving force to settle within a friction circle defined by each of the highest frictional coefficients and a ground contact load of the drive wheels.

A number of illustrative variations may include a method or product for sensing driver intervention in an autonomous steering system.

A system and method for actively compensating excessive noise, vibration, and harshness (NVH) in a vehicle front suspension is provided. The method includes sensing a vibration in the vehicle front suspension; generating an input signal representing the vibration in the vehicle front suspension; filtering the input signal using a bandpass filter; and calculating a compensation signal using a proportional-integral-derivative (PID) controller. The method also includes generating a compensation torque, based on the compensation signal, by an electric power steering (EPS) system motor, with the motor coupled to the vehicle front suspension. Method steps for enabling and disabling the active compensation system are also provided. The active compensation is enabled in response to a turn-on criteria being satisfied. The turn-on criteria may include suspension vibration above a threshold, and the suspension vibration being not caused by driver input. The active compensation is disabled in response to a turn-off criteria being satisfied