An autonomous driving control system for a vehicle which is able to switch between manual driving and autonomous driving is provided with a driver condition sensor, acting part, and electronic control unit. The electronic control unit is provided with an autonomous driving control part, reliance calculating part for calculating an autonomous driving output reliance, vigilance calculating part for calculating a driver vigilance, and an action control part for controlling a strength of an action against a driver. In a region in which an operating point determined by the autonomous driving output reliance and driver vigilance can fall, a plurality of sub regions are defined by boundary lines extending so that the driver vigilance becomes higher as the autonomous driving output reliance becomes lower. The action control part controls the strength of the action against the driver to differ in accordance with the sub region in which the operating point falls.

In a computer-implemented method, data about potential vehicle operator impairment is retrieved. The data is generated by monitoring a vehicle operator with a first sensor, monitoring the environment ahead of the vehicle with a second sensor, and monitoring force in one or more directions with a third sensor. A plurality of scores is assigned. Each of the plurality of scores corresponds to a respective impairment indicator, and wherein each of the plurality of scores is based on the data about potential operator impairment. An impairment score is generated by performing a mathematical operation on the plurality of scores. It is determined whether the vehicle operator is impaired by comparing the impairment score to a threshold value. Recommendations to reduce operator impairment of the vehicle operator are identified by analyzing the data about potential vehicle operator impairment.

The present disclosure relates to a method for operating a motor vehicle, wherein a status information regarding the status of an occupant of the motor vehicle is determined, whereupon the motor vehicle is guided in a fully automated manner to a predetermined target position when one of the release conditions is fulfilled as a function of the status information, wherein, when the release condition is fulfilled, the motor vehicle is guided independently of at least one traffic rule, which restricts the driving operation of the motor vehicle in the event of non-compliance with the release condition, or dependently of a modified version of said traffic rule.

In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

A vehicle alert apparatus includes: a drowse detector that detects drowse of a driver; an inattention detector that detects inattention of the driver; a vehicle speed detector that detects the vehicle speed; a notification portion that executes alert for the driver; and an alert controller that controls the alert executed by the notification portion based on a detection result of the drowse of the driver, a detection result of the inattention of the driver, or a detection result of the vehicle speed.

A snooze alert device, system and method monitor a user and alert the user if the user starts to fall asleep while operating a vehicle.

In accordance with one aspect of the disclosure, a driver monitoring apparatus includes: a camera having a field of view facing a driver's seat of a vehicle and configured to provide image data; and a controller configured to process the image data, and the controller is configured to identify at least one of a respiratory rate per minute or a respiratory volume of a driver based on the image data, identify whether the driver is in a state of a drowsy driving based on at least one of the respiratory rate per minute or the respiratory volume of the driver, and provide a control request to output a warning message through a display and speaker of the vehicle based on the drowsy driving of the driver.

A passenger state detection device (100) includes: a correction parameter setting unit (30) for setting a correction parameter for a captured image captured by a camera (2) for capturing a vehicle interior for each of detection items in passenger state detecting process including the multiple detection items using at least one of a feature amount in a face part area that corresponds to a passenger's face part in the captured image or a feature amount in a structure area that corresponds to a structure in the vehicle interior in the captured image; and an image correcting unit (40) for correcting the captured image for each of the detection items in the passenger state detecting process using the correction parameter set by the correction parameter setting unit (30).

A driver status monitor test method is for testing if a driver status monitor generates an alarm operation in accordance with driver motion images. A photographing unit of the driver status monitor is configured to take photographs of the driver motion images. The driver status monitor test method includes a test motion selecting step and a driver motion image displaying step. The test motion selecting step includes selecting at least one test motion for testing the driver status monitor by a user interface. The driver motion image displaying step includes displaying the driver motion images by a display. The driver motion images are a plurality of predetermined image frames in accordance with the test motion. The driver motion images include at least one of a face image, a forelimb image and a torso image.

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.