A method is intended to assist the driver of a vehicle (VA) capable of being driven in an automated manner and in a manual manner, by means of a steering wheel (VV), in a traffic lane (VC1). This method comprises a step that involves determining an optimum trajectory of the vehicle (VA) in the event of automated driving, an actual current trajectory of the vehicle (VA) in the traffic lane (VC1), and a value of a parameter representative of a manual intervention being carried out by the driver on the steering wheel (VV), and representing these determined optimum and actual current trajectories on a medium (EA) with an aspect that depends on this determined value of the parameter.

A steering torque estimating device which estimates steering torque which is torque provided to a steering axis due to a vehicle body behavior, in a vehicle including a front wheel as a steered wheel, the vehicle being configured to turn in a bank state in which a vehicle body is tilted around a forward-rearward axis, includes a torque estimating section which estimates the steering torque based on a change over time of a bank angle and a rotational speed of the front wheel.

A vehicle control apparatus and method include: a sensor sensing current trailer connection information, current trailer load information, current trailer traction information, and current trailer relative angle information; a determination unit determining whether a trailer is in a mounted state by using the sensed current trailer connection information, and determining whether an ESC is in an unstable operation state by using the sensed current trailer load information, current trailer traction information, and current trailer relative angle information when the trailer is in the mounted state; and a control unit transmitting a compensation signal to an ESC apparatus to compensate the ESC apparatus in accordance with the set target ESC stable operation control information to operate the ESC apparatus in a stable operation state according to the sensed current trailer load information, current trailer traction information, and current trailer relative angle information when the ESC is in the unstable operation state.

The invention relates to a method for improving hands-off recognition in a vehicle with steering torque-based recognition in that swarm data are provided from vehicles that recognize hands-off situations with hand distance sensors in the steering wheel. Both recognition results over a certain route section are compared and, in the case of deviations, the correctness of the results of the hand distance sensors is assumed. On this basis, route sections are determined in which steering torque-based recognition is unreliable. Based on this recognition, systems with steering torque evaluation can then be re-parameterized in order to be more reliable relative to the route.

An apparatus may include a driving information input unit for receiving driving information generated while a vehicle travels, a steering angle location control unit for receiving a command steering angle for autonomous driving and a current motor steering angle of a driving motor and outputting an autonomous driving command through location control, and a motor-driven power steering control unit for driving the driving motor based on the autonomous driving command in an autonomous driving mode, determining whether a driver intervenes in steering, based on the driving information during the autonomous driving, computing a driver command according to the driver' steering based on a result of the determination, computing a compensation output between the autonomous driving command and the driver command by applying a weighting according to a steering angular speed, and making a mode transition from the autonomous driving mode to a driver mode while driving the driving motor.

An automatic driving control apparatus for a vehicle is capable of switching a driving mode between a manual driving mode in which a driver manually performs a driving operation of the vehicle and an automatic driving mode in which a driving operation is automatically performed along a set target traveling route. The automatic driving control apparatus includes a driving mode switching unit configured to monitor a manual operation by the driver during traveling in the manual driving mode, and to control so as to switch the driving mode to the automatic driving mode after traveling a set range by manual driving.

A method and apparatus that control lateral movement of a vehicle are provided. The method includes receiving vehicle information and path information of the vehicle, determining a center of vehicle rotation from the vehicle information, minimizing a path tracking error based on the path information of the vehicle, determining a road wheel angle command or a steering torque command using non-linear optimization based on the minimized path tracking error, and controlling an actuator according to the road wheel angle command or steering torque command.

An autonomous driving controller includes: a processor to collect driving data when a vehicle is traveling and calculate a steering override reference value, which is a criterion of determining an override mode, based on the collected driving data; and a storage to store the collected driving data and a set of instructions executed by the processor to calculate the steering override reference value. In particular, the processor controls autonomous driving by varying the steering override reference value based on the collected driving data or information regarding a driver of the vehicle.

Technologies and techniques for automatically generating labeled steering torque data, with which an artificial intelligence (AI) unit is trained to detect hands-off conditions when the vehicle is being operated.

An autonomous driving system includes: a driver information acquisition device that acquires driver information indicating an action and a state of a driver of a vehicle; and a control device that performs autonomous driving control that controls autonomous driving of the vehicle. The autonomous driving control includes: deactivating action detection processing that detects, based on the driver information, a deactivating action of the driver to deactivate the autonomous driving; ready state detection processing that detects, based on the driver information, a ready state indicating that the driver is ready for manual driving; and deactivation processing that deactivates the autonomous driving when the ready state is detected after the deactivating action is detected.