An arousal support device including a processor programmed to output a dialogue speech in a form of a question, and obtain response speech which is a response of a driver to the dialogue speech; measure a response time from when the dialogue speech is output till the response speech is obtained; store the measured response time in a database; derive an estimated value of wakefulness of the driver based on the measured response time and a plurality of response times previously stored in the database; and output a signal corresponding to the estimated value to provide arousal support.

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.

An automated operation vehicle control unit is configured to perform a detection process in which an abnormal condition of a passenger of a vehicle is detected and a notification process in which pedestrians are notified of the abnormal condition detected in the detection process in a case where the abnormal condition of the passenger is detected in the detection process.

An in-vehicle monitoring and intervention system for detecting whether a driver in a vehicle is drowsy by monitoring a plurality of physiological signals of the driver is provided. The in-vehicle monitoring and intervention system includes at least a processor and an apparatus, the apparatus can be integrated into a seat belt or attached thereto as a discrete hardware apparatus, which includes at least an ECG sensor, a respiratory sensor, an acceleration sensor, a filtering system, and an intervention module. The filtering system further comprises one or more filters for suppressing noise and reducing motion artifacts. The processor is configured to compare the detected physiological signals with the signals stored in a learning module of the in-vehicle monitoring and intervention system for determining the drowsiness state. If the driver is determined to be drowsy, a warning signal is outputted to alert the driver.

A vehicle control system, a vehicle and a vehicle control method are provided, and the vehicle control system includes: an acquiring device configured to acquire body state information of a driver; a processor, which includes an input terminal connected with the acquiring device, and is configured to judge whether the body state information is body abnormality information, and to output an execution signal if the body state information is the body abnormality information; and an execution device, which includes an input terminal connected with an output terminal of the processor, and is configured to receive the execution signal, and to execute a corresponding security action according to the execution signal.

A vehicle safety support apparatus includes: a driver monitoring sensor configured to monitor a driver; an external environment monitoring sensor configured to monitor an external environment of a vehicle; and at least one processor configured to: determine whether the vehicle is in an immediate hazard situation based on data acquired from the driver monitoring sensor and the external environment monitoring sensor; determine, in response to determining that the vehicle is in the immediate hazard situation, whether to perform a recovery maneuver or a rescue maneuver based on the data acquired from the driver monitoring sensor and the external environment monitoring sensor to get out of the immediate hazard situation; and perform, in response to determining to perform the rescue maneuver, autonomous driving to move the vehicle to a safe area by taking over a driving control from the driver.

An occupant monitoring device which is provided in a vehicle, and monitors one or more occupants riding in the vehicle. The occupant monitoring device includes: a recognizer that recognizes one or more occupants riding in the vehicle; a monitor that monitors the one or more occupants riding in the vehicle according to a result of recognition of the one or more occupants by the recognizer; a start controller that individually starts or stops the recognizer and the monitor. The start controller starts the recognizer in a stopped state of the monitor.

Disclosed is a method and apparatus for detecting a state of a vehicle occupant, wherein a bio-signal of an occupant riding in a vehicle may be acquired by executing an artificial intelligence (AI) algorithm or a machine learning algorithm, and a physical change of the occupant may be measured by a movement signal, a respiratory signal, and a heart rate signal from the acquired bio-signal of the vehicle occupant, such that it is possible to control an operation of an internal vehicle device or to control operation of the vehicle so as to correspond to the physical change of the occupant estimated by communicating with the internal vehicle device in a 5G communication environment. According to the present disclosure, the movement signal, respiratory signal, and heart rate signal of the occupant in the vehicle may be extracted via an RF sensor mounted in the vehicle, and the physical state of the occupant may be estimated based on the extracted bio-signal of the occupant, and when the physical state is estimated to be abnormal, the occupant may be informed of the abnormal physical state.

An in-vehicle control apparatus performs a hazard avoidance process. The in-vehicle control apparatus includes an anomaly determination section, an alarm control section, and a hazard avoidance control section. The anomaly determination section determines whether a driver is under driving inability state during travel of the vehicle, based on information on monitoring of state of the driver. The alarm control section activates an alarm annunciator to issue an alarm outwardly from the vehicle when the driver is determined to be under driving inability state. After the alarm annunciator starts the alarm, the hazard avoidance control section fails to perform the hazard avoidance process when the alarm is stopped by a manipulation of the driver and performs the hazard avoidance process when a specified time elapses under state where the alarm is not stopped since the starting of the alarm.

The method, system, and computer-readable medium facilitates monitoring a vehicle operator during the course of vehicle operation to determine whether the vehicle operator is impaired (e.g., distracted, drowsy, intoxicated) and alerting the vehicle operator using a haptic alert delivered by a wearable computing device worn by the vehicle operator when impairment is detected. The method, system, and computer-readable medium may monitor the vehicle operator, the environment surrounding the vehicle, and/or forces acting on the vehicle using a variety of sensors, including optical sensors or accelerometers. In particular, optical sensors may monitor the vehicle operator to detect eye blinks, head nods, head rotations, and/or gaze fixation. Optical sensors may also monitor the road ahead of the vehicle to detect lane deviation, lane centering, and time to collision. Accelerometers may detect acceleration in the direction of vehicle travel and/or lateral acceleration.