A vehicle control apparatus operates in various modes, e.g., a normal mode in which plural travel functions of a vehicle are controlled by plural driving functions of a driver; an automatic mode in which all driving functions are performed by the vehicle; an optimization mode in which, when a temporary reduction of driving performance of any of the plural driving functions of the driver is detected, physical stimulation and/or information that makes the driver recognize the temporary reduction of the driving performance is provided to the driver; and an assistance mode in which, when a chronic reduction of the driving performance of any of the plural driving functions of the driver is detected, information on assistance with execution of the driving performance is provided to the driver.

There is provided an information processing apparatus including an eyeball behavior analysis unit (300) that analyzes an eyeball behavior of a driver who drives a moving object, in which the eyeball behavior analysis unit dynamically switches an analysis mode according to a driving mode of the moving object.

A driver state guide device includes: a state identification unit identifying a present state of a driver of an own vehicle; a target estimation unit estimating a target state to which the state of the driver is guided; a route prediction unit providing a predicted route of the own vehicle; a situation prediction unit predicting a situation in the predicted route predicted by the route prediction unit; a planning unit planning, as a stimulus plan, a stimulus to be used in the predicted route to guide the state of the driver to the target state; and a stimulus control unit providing the stimulus for the driver according to the stimulus plan determined by the planning unit in the predicted route.

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 control device is used in a subject vehicle capable of performing autonomous driving with no obligation for a driver to monitor periphery. The control device determines whether a permission state, in which a specific act other than driving is permitted to the driver, is continued or not when approach of an emergency vehicle to the subject vehicle is detected during an autonomous cruising period in which the autonomous driving is being performed. The control device restricts display of a content provided to the driver when the permission state of the specific act is determined to be not continued.

Examples described herein provide a computer-implemented method that includes receiving, by a processing device, a current state of a vehicle. The method further includes predicting, by the processing device using an output of an artificial intelligence model, a future state of the vehicle based at least in part on the current state of the vehicle. The method further includes calculating, by the processing device using a tunable reward function, a reward associated with the future state of the vehicle, the tunable reward function comprising multiple tunable coefficients. The method further includes training, by the processing device, the artificial intelligence model based at least in part on the reward.

Systems and methods are disclosed for determining a distraction level of a driver. A real-time driver analysis computer may receive sensor data from one or more driver analysis sensors. The real-time driver analysis computer may analyze the sensor data to determine a distraction level of a driver. Based on the distraction level, the real-time driver analysis computer may send one or more control signal to the vehicle and output one or more alerts to a mobile device associated with the driver.

A vehicle control device includes a sleep depth estimation unit that estimates a sleep depth of an occupant seated in a seat provided in a vehicle, and a control unit that controls the vehicle such that a magnitude of the external force to be applied to at least one of a plurality of the occupants is equal to or less than a first threshold value when the estimated sleep depth of the occupant is equal to or lower than a predetermined reference depth or when the occupant is awake, and that controls the vehicle such that the magnitude of the external force to be applied to each of all the occupants is equal to or less than a second threshold value larger than the first threshold value when the sleep depth of each of the occupants is greater than the reference depth.

A driving assistance device 1 is provided with: three or more detection units 5a to 5d which are configured to detect a likely-to-be-dozing state in which likelihood that a driver of a vehicle is dozing is high by different indices and at prescribed intervals; a state determination unit 34 which determines that the driver is in a dozing state when the likely-to-be-dozing state is detected by at least two of the detection units; and a warning control unit 36 which causes a warning device 6 to issue a warning when the state determination unit 34 determines that the driver is in the dozing state.

System, methods, and other embodiments described herein relate to remotely assisting an operator that is impaired using alerts from a vehicle. In one embodiment, a method includes receiving, by a first vehicle using a communications network, assistance information about an operator and a second vehicle near the first vehicle, wherein the assistance information indicates a state of the operator and a position of the second vehicle. The method also includes, upon approving an action according to the state and the position, selecting an alert that changes the state according to the position and attributes determined according to sensor data of the first vehicle. The method also includes activating the alert by the first vehicle.