In a vehicle control device, a switching hyperplane generation unit generates a switching hyperplane based on a travel state of a vehicle and cornering stiffness dependent on a travel surface state as a state of a road surface on which the vehicle travels. A deviation computation unit calculates a deviation between a target trajectory and an actual trajectory of the vehicle. A state estimation unit estimates a state to be controlled of the vehicle based on the deviation calculated by the deviation computation unit. A target steering angle and acceleration/deceleration computation unit calculates a target steering angle and a target acceleration/deceleration rate of the vehicle based on the switching hyperplane generated by the switching hyperplane generation unit and an estimated state as the state estimated by the state estimation unit.

The present disclosure relates to an autonomous vehicle, a control system for remotely controlling the same, and a method thereof. An exemplary embodiment of the present disclosure provides a control system including: a steering configured to be controlled by a user for steering control of an autonomous vehicle; and a processor configured to receive, from the autonomous vehicle, a remote control request, and an indication of a current steering angle of the autonomous vehicle, and synchronize, based on the indication, a steering angle of the autonomous vehicle with a steering angle of the steering.

A method and a device are disclosed for partitioning a widened area of a limited traffic lane bounded by two edges, and through which a vehicle can be driven by a driver in an automated manner along a reference path, said vehicle comprising a lateral positioning aid with respect to the reference path. The method comprises detecting a lane split, determining a widened area (204), determining a plurality of reference paths, and partitions the widened area into a plurality of sub-areas according to the determined reference paths.

To increase steering angle followability of automatic steering, provided is a driving assistance device for executing collision avoidance control of controlling a steering angle of an own vehicle such that the own vehicle travels along a target trajectory which enables the own vehicle to avoid a collision with an obstacle. The driving assistance device includes: a setting unit configured to set a target steering angle, and to set a target steering torque for matching the steering angle with the target steering angle; a cancellation unit configured to set a cancellation torque which cancels a total steering torque obtained by summing a driver steering torque and a steering assist torque set based on the driver steering torque; and a control unit configured to execute steering control of controlling the steering angle based on a torque control amount obtained by adding the target steering torque to the cancellation torque.

A vehicle control device has a processor configured to set a target torque as a target for driver torque at which generation of anti-torque on a steering wheel is to be initiated, based on a reference torque as a reference for driver torque at which generation of anti-torque is to be initiated against the driver torque produced by operation of the steering wheel by a driver, and a current correction value for the reference torque, to count a number of deviations from a lane marking line of a lane in which the vehicle is traveling while the driver torque exceeds the target torque, and to calculate a new correction value for the reference torque based on a correction coefficient that is set based on the number of deviations, wherein the next target torque is set based on the reference torque and the new correction value for the reference torque.

A representation of a first set of weights associated with a vehicle prior to a drive are received, the vehicle including a plurality of axles, a plurality of wheels attached to the plurality of axles, and a load. A warning is caused to be output in response to at least one weight from the first set of weights being outside a predetermined range. Longitudinal and lateral dynamics associated with the vehicle during the drive are determined. A second set of weights associated with at least one axle from the plurality of axles during the drive are determined. A determination is made if at least one remedial action should be performed based on the longitudinal dynamics, the lateral dynamics, and the second set of weights. In response to determining that the at least one remedial action should be performed, the at least one remedial action is caused to be performed.

Sensor data is received at a processor of a vehicle including at least one sensor, a plurality of axles, and a plurality of tires coupled to the plurality of axles. A determination is made by the processor if at least one tire from the plurality of tires is faulty based on the sensor data. A determination is made by the processor of at least one side of the vehicle and at least one axle from the set of axles associated with the at least one tire in response to the determining that the at least one tire is faulty. A determination is made by the processor of at least one remedial action to be performed by the vehicle based on the sensor data, the at least one side, and the at least one axle.

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.

Driver attention and hand placement systems and methods are disclosed herein. An example method includes providing warning messages to a driver of a vehicle based on steering wheel input or hand-wheel contact by the driver. The warning messages are provided according to a first scheme when the steering wheel input is above a threshold value and according to a second scheme when the steering wheel input is below a threshold value and images obtained by a camera in the vehicle indicate that at least one hand of the driver is on the steering wheel.

A control method of a vehicle includes determining a look-ahead time, calculating a predicted passage position by using specific vehicle information having at least a position of a wheel at the current time point, velocity of the vehicle, and the proceeding direction of the vehicle, acquiring a road surface displacement-associated value at the predicted passage position, calculating a final target control force based on the road surface displacement-associated value at the predicted passage position, and controlling a control force generator based on the final target control force.