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.

The present disclosure generally relates to systems and methods for generating data representative of an individual's insurance risk based on actual driving behaviors and driving environment. The systems and methods may include collecting data from personal electronic device sensors, vehicle sensors, driver inputs, environment sensors and interactions of the vehicle, the driver and the environment. The systems and methods may further include analyzing the data to generate data representative of an individual insurance risk. The systems and methods may further include presenting the data representative of the individual insurance risk to an individual.

When a driver is in an abnormal state, a vehicle control device executes a stop control of applying a braking force to a vehicle to stop the vehicle and a stop holding control of holding the vehicle in a stopped state after stopping the vehicle with the stop control. The control device is configured to prohibit the stop holding control from being released, when a first condition that is satisfied when an operation amount of an accelerator operator is larger than a predetermined threshold value is satisfied, while the stop holding control is being executed.

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 system for detecting activities that pose a risk during driving is described. The system includes a vehicle comprising a steering device. Sensors are placed around various positions of the steering device that are configured to detect a presence of one or two hands on the steering device. The system further includes processing circuitry configured to: identify a position of the one or two hands on the steering device or a lack thereof based on binary signals received from the plurality of sensors; and determine whether to generate an alert to the operator of the vehicle based on the position of the one or two hands on the steering device or lack thereof, the alert requesting the operator of the vehicle to place one or two hands on the steering device and/or any other authorized device.

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.

This disclosure relates to a system and method for determining vehicle operator preparedness for vehicles that support both autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to vehicles and their operation. During autonomous vehicle operation, the system gauges the level of responsiveness of an individual vehicle operator through challenges and corresponding responses. Based on the level of responsiveness, a preparedness metric is determined for each vehicle operator individually.