A method for switching modes for operating a vehicle, a non-transitory computer-readable medium for performing the method, and information processing apparatuses. The method includes determining, by circuitry of an information processing apparatus, whether a mode for operating the vehicle is to be switched from one of autonomous and manual driving modes to the other of the autonomous and manual driving modes. A state of a driver of the vehicle is obtained when the mode for operating the vehicle is determined to be switched. The method further includes switching, by the circuitry, the mode for operating the vehicle from the one of the autonomous and manual driving modes to the other of the autonomous manual driving modes based on the obtained state of the driver.

A control system having one or more controllers configured to determine physical or psychophysiological (3P) changes of an operator of a vehicle. First and second imaging devices take real-time images of an operator of a vehicle. Then, based on the physical, physiological and/or psychological features extracted from the imaging device data, and a 3P model from historical data the one or more processors also configured to, responsive to the physical, physiological and/or psychological changes of the operator of the vehicle, alert the operator and control the operation of the vehicle.

The present invention relates to a method of evaluating a current risk of mismatch between actual driving automation capabilities of a vehicle and driving automation capabilities of the vehicle expected by a driver. The method comprises monitoring at least one physical property of the driver indicative of a gaze direction; determining a first visual attention metric value indicative of a level of visual attention to the road ahead; comparing the first visual attention metric value to a first threshold value; and providing, when the comparison indicates that the current level of visual attention to the road is lower than the first threshold level, a signal indicative of an elevated risk of expectation mismatch.

A vehicle includes an internal camera configured to acquire the driver's facial data to identify the driver's gaze region; an external sensor configured to acquire object data including at least one of a relative position and a relative speed of the object existing in all directions of the vehicle; and a controller configured to generate an advance warning signal.

A vehicle warning method based on Vehicle-to-everything (V2X) communication is provided. The method is used in a telematics control unit (TCU) installed in a first vehicle and includes: receiving a heartbeat frequency of a user driving the first vehicle; determining whether the heartbeat frequency is within a normal range; adding a first loss-of-control flag into a first basic safety message (BSM) when the heartbeat frequency is not within the normal range; and broadcasting the first BSM.

An emergency driving situation control apparatus using a brain wave signal includes a sensor configured to collect a brain wave signal for at least one passenger of a mobility in a predetermined channel region, an analyzer configured to determine, by analyzing the brain wave signal collected in the predetermined region, whether or not an emergency situation has occurred to the mobility, and a controller configured to control an operation of the mobility based on a result of the determination.

A vehicle operation assistance device is provided with: a visual line range determination unit that determines whether a recognition range including a visual line range of an operator of a mobile body corresponds to either an operation panel range to be operated or an external-environment checking range; a vigilance calculation unit that calculates alertness and attentiveness of the operator on the basis of at least movement of the operator's visual line; and a control unit that controls on-board devices of the mobile body on the basis of the recognition range and at least one of the alertness and attentiveness.

A vehicle warning method based on Vehicle-to-everything (V2X) communication is provided. The method is used in a telematics control unit (TCU) installed in a first vehicle and includes: receiving a heartbeat frequency of a user driving the first vehicle; determining whether the heartbeat frequency is within a normal range; adding a first loss-of-control flag into a first basic safety message (BSM) when the heartbeat frequency is not within the normal range; and broadcasting the first BSM.

An evaluation engine has two or more modules to assist a driver of a vehicle. A driver drowsiness module analyzes monitored features of the driver to recognize two or more levels of drowsiness of the driver of the vehicle. The driver drowsiness module evaluates drowsiness of the driver based on observed body language and facial analysis of the driver. The driver drowsiness module is configured to analyze live multi-modal sensor inputs from sensors against at least one of i) a trained artificial intelligence model and ii) a rules based model while the driver is driving the vehicle to produce an output comprising a driver drowsiness-level estimation. A driver assistance module provides one or more positive assistance mechanisms to the driver to return the driver to be at or above the designated level of drowsiness.

The present disclosure relates to a method for controlling at least one drive assistance system of a motor vehicle, a device for carrying out the steps of this method and a system including such a device. The disclosure also relates to a motor vehicle including such a device or such a system.