A vehicle control device has a processor that is configured to determine the level of active operation by the driver, to determine the relationship between the speed of the vehicle and a predetermined reference speed, and to generate a first driving plan whereby a first deceleration is used to decelerate the vehicle without activating the brake light, when it has been determined that the level of active operation by the driver is lower than the predetermined reference level and the speed of the vehicle is faster than the reference speed, and to generate a second driving plan whereby a second deceleration that is greater than the first deceleration is used to decelerate the vehicle when it has been determined that the level of active operation by the driver is lower than the predetermined reference level and the speed of the vehicle is equal to or below the reference speed.

An emergency stop system for transferring an at least semi-autonomously operable vehicle into a safe state includes an actuating device configured to output an actuating signal, a control device configured to receive the actuating signal and to output a control signal, and an emergency braking device configured to actively brake the vehicle. The emergency braking device is configured to actuate a braking system provided in the vehicle based on the output control signal and based on a predetermined operating mode in order to generate a braking force for decelerating the vehicle.

When a driver is in an abnormal state, a vehicle control device executes a stop control of applying a braking force to a vehicle to stop the vehicle and a stop holding control of holding the vehicle in a stopped state after stopping the vehicle with the stop control. The control device is configured to prohibit the stop holding control from being released, when a first condition that is satisfied when an operation amount of an accelerator operator is larger than a predetermined threshold value is satisfied, while the stop holding control is being executed.

This disclosure relates to a system and method for determining vehicle operator preparedness for vehicles that support both autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to vehicles and their operation. During autonomous vehicle operation, the system gauges the level of responsiveness of an individual vehicle operator through challenges and corresponding responses. Based on the level of responsiveness, a preparedness metric is determined for each vehicle operator individually.

Embodiments of the present disclosure relate to assisted driving of a vehicle. The response time of the driver may be measured and control operations may be adjusted to accommodate or compensate the response time of the driver. Predictive actions in anticipation of a slightly delayed input from the driver may be taken to avoid potentially dangerous conditions. A vehicle may be controlled to slow down to allow more time to a potential event to accommodate a slow response from the driver.

A method for monitoring a motor vehicle including an automated driving function, including differing modes of operation for bringing the motor vehicle to a standstill, at least one energy store, in particular a battery, supplying at least one consumer which is able to bring the vehicle to a standstill, a respective load profile being assigned to the respective mode of operation, which usually occurs in this mode of operation upon activation of the consumer, at least one characteristic variable of the energy store being predicted as a function of at least one of the load profiles, and the mode of operation associated with the load profile and/or the automated driving function being unblocked, blocked, left or influenced as a function of the predicted characteristic variable of the energy store.

This disclosure relates to a system and method for transitioning vehicle control between autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to the vehicle and its operation. During autonomous vehicle operation, the system gauges the level of responsiveness of a vehicle operator through challenges and corresponding responses. The system determines when to present a challenge to the vehicle operator based on internal and external factors. If necessary, the system will transition from an autonomous operation mode to a manual operation mode.

An embodiment method for controlling autonomous driving in a vehicle with an incorporated semi-autonomous driving system and warning alarm system includes monitoring a status of a driver during semi-autonomous driving, generating a state signal based on the monitoring, the state signal indicating a state that includes a warning state, a coasting state and a braking state, and performing a driver emergency assistance operation based on the state signal, wherein the vehicle transitions to the warning state, the coasting state, or the braking state based on the state signal to perform a corresponding driver emergency assistance operation.

A vehicle driving assist system includes an imaging device, an alarm, and a controller. The controller includes a facial recognition unit, an occupant determination unit, and a loss determination unit. The facial recognition unit recognizes at least a part of an occupant's face in first captured images acquired from the imaging device. The occupant determination unit determines a driving state of the occupant on the basis of a second captured image in which at least the part of the face is recognizable, and generate a first alert request if the occupant is unable to drive the vehicle. The loss determination unit generates a second alert request if a third captured image in which at least the part of the face is unrecognizable occurs two or more times. The alarm outputs an alert to the occupant on the basis of the first and second alert requests.

A device and a method for controlling autonomous driving in an autonomous vehicle are provided. The method may include collecting recognition information during the autonomous driving, determining whether a change in an automation level is required based on the collected recognition information, displaying a predetermined message on a screen when it is determined that the change in the automation level is required, and performing the autonomous driving by changing the automation level when it is determined that the change in the automation level is required.