An apparatus for controlling driving of a vehicle includes: an input device that receives an input signal corresponding to an operation of a driver; and a controller that sets a weight to a careless state of the driver based on a separation distance between the driver and the input device operated by the driver, a spaced angle, and a scheme of operating the input device, and calculates a braking application time point based on the weight.

A system in a vehicle can have a camera and/or a sensor. Such a camera can be configured to record a visual feature of a user in the vehicle and send data derived from the visual feature. Such a sensor can be configured to sense a non-visual feature of the user in the vehicle and send data derived from the non-visual feature. The system can have a computing system configured to receive such data from the camera and the sensor. The computing device can also be configured to determine a state of the user based on the received data derived from visual and non-visual features, as well as an AI system. The computing device can also be configured to enable or disable a function of the vehicle based at least partially on the state of the user, which the AI system can infer from the received data.

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.

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.

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.

An information providing system for a vehicle includes: first and second mobile terminals worn by a driver and fellow passenger, respectively of the vehicle, and an information providing device, which are communicated with each other. Further, the information providing device includes a control unit that executes information provision control for generating information indicating that the physical condition of the fellow passenger is the predetermined state and transmitting the generated information to the first mobile terminal, in a case where it is determined that the physical condition of the fellow passenger is the predetermined state.

A vehicle configured to operate in an autonomous mode is provided. The vehicle is configured to obtain an indication of a final destination, and, if the final destination is not on a pre-approved road for travel by the vehicle, the vehicle is configured to determine a route from the vehicle's current location to an intermediary destination. The vehicle is further configured to determine a means for the vehicle user to reach the final destination from the intermediate destination.

Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets an allowable lateral acceleration, based on a physical abnormality of a driver; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a lateral acceleration to be generated during traveling of the vehicle to each of the candidates; estimates a rear-end collision risk that the vehicle will be rear-ended by a following vehicle; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration and which is lowest in terms of the rear-end collision risk.

A computer in a vehicle is programmed to receive sensor data about a vehicle occupant, select a category of behavior of the occupant based on the sensor data, and navigate to a predetermined location based on the selected category. The vehicle may be an autonomous vehicle that can be operated by the computer.

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.