A method for deactivating an automated driving mode of a vehicle involves automatically terminating the automated driving mode if, due to a manual steering torque acting on the steering wheel of the vehicle, a system steering torque generated by a control system of an assistance system for automated driving mode in terms of amount is exceeded by a predetermined first value if at least one hand of a vehicle user is detected on the steering wheel of the vehicle, is exceeded by a predetermined second value if neither of the vehicle user's hands is detected on the steering wheel, or is exceeded by a predetermined third value if it is determined that the vehicle user is distracted from the driving situation, or if it is determined that there is a lateral collision risk for the vehicle and the manual steering torque of the vehicle user is acting in the direction of the collision risk.

The present disclosure provides system and methods for a vehicle infotainment system (VIS) to monitor physiological parameters of occupants of a vehicle. The VIS also monitors vehicle operating parameters. The VIS is able to detect when an occupant is experiencing a physiological condition and correlates the physiological condition to one or more vehicle operating parameters. In response to detecting a physiological condition and to determining the correlation, the VIS causes an action to occur in order to mitigate the physiological condition and/or to seek assistance for the physiological condition.

The disclosed embodiments include a onboard driver distraction determination system. The determination system includes a onboard sensing and computing system(s), which includes inertial sensor(s), internal sensor(s), and external sensor(s). The onboard system samples data from the sensor(s) during a driving session to determine steering activity metrics and driver behavior. A steering activity metric is a representation of the steering inputs by the driver during the driving session. Driver behavior is a representation of how distracted the driver is during the driving session. By performing the above mentioned steps, the system can provide an analysis of driver distraction and optionally, take control of the vehicle to avoid aberrant behavior.

Disclosed are a fatigue state detection method and apparatus, a medium and a device. The method includes: obtaining image blocks containing an organ area of a target object from a plurality of video frames collected by a camera apparatus disposed in a mobile device, to obtain an image-block sequence that is based on the organ area; determining a fatigue state type of the target object based on the image-block sequence of the organ area; sending the image-block sequence to a cloud server if the fatigue state type meets a first preset type, and rendering the cloud server to detect a fatigue level of the target object based on the image-block sequence; and receiving fatigue level information about the target object that is returned by the cloud server. The present disclosure may improve accuracy of fatigue state detection, thereby helping to improve driving safety of the mobile device.

An HMI control device, which controls an HMI device mounted on a vehicle. The HMI device presents information to a driver of the vehicle in a recognizable manner. The vehicle is capable of automated driving and travels following a preceding vehicle at a speed equal to or lower than a predetermined speed. The HMI control device is configured to: present attention information for calling attention of the driver when a congestion is determined to be cleared; acquire a behavior of the driver; and end a second task presented on the HMI device at an end timing corresponding to the behavior of the driver acquired after presentation of the attention information.

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.

Driver attention and hand placement systems and methods are disclosed herein. An example method includes providing warning messages to a driver of a vehicle based on steering wheel input or hand-wheel contact by the driver. The warning messages are provided according to a first scheme when the steering wheel input is above a threshold value and according to a second scheme when the steering wheel input is below a threshold value and images obtained by a camera in the vehicle indicate that at least one hand of the driver is on the steering wheel.

A system for characterizing driver behavior includes an interface and a processor. The interface is configured to receive a set of vehicle data, wherein the set of vehicle data comprises embedded image vectors that characterize vehicle data over a short time scale. The processor is configured to determine, using a long time scale model, a long time scale label based at least in part on the embedded image vectors.

In accordance with an exemplary embodiment, a vehicle is provided that includes a body, a drive system, and a control system for controlling the adaptive cruise control functionality for the vehicle. The drive system is disposed within the body, and has adaptive cruise control functionality. The control system includes: one or more sensors disposed onboard the vehicle and configured to obtain sensor data for monitoring a driver of the vehicle while the vehicle is stopped during adaptive cruise control operation while a target vehicle in front of the vehicle has stopped; and a processor coupled to the one or more sensors and configured to provide instructions for automatically resuming movement of the vehicle, when the target vehicle resumes movement, based on the monitoring of the driver of the vehicle.