A sleepiness estimating device including an auxiliary information acquirer that acquires auxiliary information including at least one of five-sense information perceived by a person or emotion information indicating an emotion of the person; and a sleepiness estimator that estimates a sleepiness of the person based on the auxiliary information.

A vehicle system includes a warning device and at least one electronic control unit. The at least one electronic control unit is configured to present a light stimulus to a driver, and determine whether the driver is facing forward, determine whether the driver holds a steering wheel, and cause the warning device to perform a first warning when it is determined that the driver is not facing forward while the light stimulus is being presented. The first warning is either the vibration or the sound. The at least one electronic control unit is configured to perform a second warning when it is determined that the driver does not hold the steering wheel before a predetermined time elapses after the first warning is started. The second warning includes the vibration and the sound.

A driver assistance method and a driver assistance apparatus are provided, which may be applied to the field of autonomous driving or intelligent driving. The driver assistance method includes: determining that a driver is in an abnormal state; determining that a first operation performed by the driver on a first terminal is an abnormal operation; and performing first processing, where the first processing includes outputting indication information and/or control information, and the indication information or the control information indicates a second operation performed on the first terminal, or the first processing includes controlling the first terminal to perform the second operation.

According to the present disclosure, a drunk driving prevention system including: an alcohol detection unit configured to detect a driver's inebriation through the breath test device provided in a vehicle; a computation unit configured, when the driver is detected to be in a drunk state by the alcohol detection unit, to compute a driving-possible time at which the drunk state is resolved in the future so that driving is possible; and a notification unit configured to output the driving-possible time or whether or not driving is possible through an infotainment system of the vehicle or a driver's terminal is disclosed.

An awakening degree detecting device outputs awakening degree information corresponding to an awakening degree of a driver of a vehicle. A stimulus providing device provides the driver with a stimulus including at least one of a vibration stimulus imparting vibration and an apparent motion stimulus giving an illusion of motion presence. A control device outputs, based on the awakening degree information, a first control signal causing the stimulus providing device to provide the stimulus in a case where the awakening degree is less than a first threshold, and to output a second control signal causing the stimulus providing device to provide the stimulus after the first control signal is outputted.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

A human machine interface control unit as an information presentation control device is used in a vehicle having an autonomous driving function to perform a driving action on behalf of a driver, and controls an information presentation device configured to present information to the driver. The human machine interface control unit includes a permissible action determination unit configured to determine a permissible action that a driver is permitted to take among actions, other than a driving action, to be possibly taken by the driver when the autonomous driving function is implemented, and an information presentation content control unit configured to cause an information presentation device to present information related to a determination result of the permissible action.

A method for visually tracking a gaze point of a human eye includes: periodically obtaining position coordinates of a human eye of a driver of a host vehicle and coordinates of a gaze point of a sightline of the human eye on ab inner side of a current projection screen; in combination with a refractive index and a curvature of the current projection screen, coordinates of a gaze point of the sightline on an outer side of the current projection screen and a corresponding refracted light path formed by outward refraction of the sightline are obtained, and in combination with a preset normal viewing distance of the human eye, a final gaze point of the sightline on the refracted light path and coordinates of the final gaze point are obtained.

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.

An illustrative example system includes at least one alertness detector that is configured to detect an alertness condition of a driver of a vehicle and an alertness condition of a passenger in the vehicle. A controller is configured to determine a sleep risk factor based on the alertness condition of the passenger. The controller is also configured to determine a likelihood that the driver is sleepy based on the alertness condition of the driver and the sleep risk factor. The controller is configured to control a feature of the vehicle to assist the driver when the determined likelihood satisfies a predetermined criterion.