A vehicle or a mobile device within or near the vehicle can have multiple sensors to sense biometric features of a user or driver, and electronic circuitry (such as a computing system) can classify the user or driver according to the sensed biometric features. Also, non-biometric factors of the user or driver or of the mobile device of the user or driver can be used to classify the user or driver, e.g., MAC address, RFID, username and password, PIN, etc. Also, factors from interaction with a user interface of the vehicle or the mobile device can be used to classify the user or driver. Such features and factors can be used alone or in combination for the classification, and the classification can use AI (such as an ANN). The vehicle or the mobile device can then selectively enable or disable features of the vehicle based on the classification.

A vehicle control device executes a warning control for a driver when the driver is in an abnormal state, and executes a stop control for stopping an own vehicle when the abnormal state is continued for a predetermined time threshold or more from a time point at which the warning control is started. In a first period from a time point at which the warning control is started to a time point at which the stop control is started, the vehicle control device determines whether there is another vehicle behind the own vehicle, and when the control device determines that there is no other vehicle behind the own vehicle, a specific deceleration control that temporarily decelerates the own vehicle is executed.

A method for controlling the operation of an automatic driving assistance system of a motor vehicle, which is designed for independent vehicle guidance. When at least one driving control takeover condition is met which brings about deactivation of the driving assistance system when driving control is taken over by the driver, at least one takeover request is output to the driver. If the driver does not react to this takeover request, replanning of the original route occurs with an original destination to a stopping point which can be approached in an automated manner. The replanning occurs in such a way that the stopping point constitutes, in the context of the present position of the motor vehicle with respect to the original destination, an optimum stopping point which is determined according to at least one optimality criterion.

A driving control system includes an automatic driving control device and a driver monitoring device. The automatic driving control device includes a driver state determining unit, an override detector, a retreat mode controller, and a retreat mode canceler. During traveling under an automatic driving mode, when the driver state determining unit determines from a driver state detected by the driver monitoring device that the driver is not in a state capable of driving normally, the retreat mode controller sets a retreat mode in which an override operation is disabled and an own vehicle is caused to travel for retreat. When the driver state determining unit determines, during traveling for retreat, that the driver has returned to the state capable of driving normally, the retreat mode canceler cancels the retreat mode, and enables detection of the override operation of the driver by the override detector.

Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.

[Object] To maintain a wakefulness state of a target more effectively.

[Solution] Provided is an wakefulness maintenance device including: a stimulus provision section configured to provide a vibratory stimulus to at least a part of a body of a target; and a control section configured to control a provision mode and whether or not the stimulus provision section provides the vibratory stimulus, on the basis of an estimated degree of wakefulness of the target. The stimulus provision section includes a contact section configured to come into contact with the part of the body of the target, and a plurality of stimulus generation sections configured to be installed in the contact section and generate the vibratory stimuli under the control of the control section.

The present disclosure relates to an Information processing apparatus, an information processing method, and a program for detecting a driver's abnormal physical condition during driving to implement processing in consideration of safety.

Vital data of the driver of a vehicle is acquired and the vehicle is controlled to a safe state according to an automatic driving level in a case where a determination result that an abnormal physical condition is occurring in the driver is acquired on the basis of the vital data. The present disclosure can be applied to an in-vehicle system.

A drowsiness level of a driver in a vehicle is determined. A preliminary alert is performed in response to that the drowsiness level is higher than an alert threshold value. A main alert is performed to prompt the driver to wake up from drowsiness as necessary after the preliminary alert. In response to that a predetermined response operation by the driver is detected within a predetermined time after the preliminary alert, the alert threshold value is changed to be higher.

An information processing device includes a control unit. The control unit acquires biometric information and occupant information of an occupant of a vehicle, estimates state information of the occupant based on the acquired biometric information, and compares the estimated state information and the acquired occupant information with past data for another occupant in which the state information and the occupant information are associated with facility information of a service facility used, to determine a service facility fit for the occupant.

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.