Systems and methods are disclosed for monitoring or affecting movement of a vehicle using a traffic device. An event data source may have a processor and/or a transceiver. The event data source may transmit, via the transceiver and to a vehicle and infrastructure computing device, information indicative of an event affecting a portion of road. The vehicle and infrastructure computing device may comprise a vehicle and infrastructure control computer. The vehicle and infrastructure computing device may receive, from the event data source, the information indicative of the event affecting the portion of road. The computing device may determine one or more traffic devices associated with the portion of road and configured to control traffic for the portion of road. Based on the information indicative of the event affecting the portion of road, the computing device may send, to the one or more traffic devices associated with the portion of road, instructions to change one or more characteristics of the one or more traffic devices.

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.

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.

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.

The invention relates to an interactive system (1) with a user (U) occupying a motor vehicle (100) comprising an interface (3) and an operating system for executing an application. According to the invention, the interactive system (1) comprises a measuring device (5) comprising at least one sensor that is configured to acquire at least one physiological parameter of the user (U), and an embedded processing unit (7). The processing unit (7) comprises an interpretation module that is configured to receive the physiological parameter and to define, on the basis of the physiological parameter, a datum representative of the physiological or emotional state of the user (U), and an analysis module that is configured to compare data representative of the physiological or emotional state of the user (U) before and during the execution of an application for managing a remediation exercise, and to adjust at least one parameter of the remediation exercise according to the results of the comparison. The invention also relates to an interaction method implemented at least partly by such an interactive system.

Described is a system and method for the classification of agents based on agent movement patterns. In operation, the system receives position data of a moving agent from a camera or sensor. Motion data of the moving agent is then extracted and used to generate a predicted future motion of the moving agent using a set of pre-calculated Echo State Networks (ESN). Each ESN represents an agent classification and generates a predicted future motion. A prediction error is generated for each ESN by comparing the predicted future motion for each ESN with actual motion data. Finally, the agent is classified based on the ESN having the smallest prediction error.

A vehicle control device executes driving assistance control for assisting driving a host vehicle by a driver. The vehicle control device stops the driving assistance control under execution when a predetermined actuator of the host vehicle is operated. The vehicle control device executes, as the driving assistance control, abnormality countermeasure control for securing safe traveling of the host vehicle when the driver falls into an abnormal state having a problem in driving the host vehicle, and when the predetermined actuator is operated, and when the abnormality countermeasure control is not being executed, stops the driving assistance control, and when the abnormality countermeasure control is being executed, does not stop the driving assistance control including the abnormality countermeasure control.

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.

Driving support ECU outputs an instruction to retract a seatbelt to a seatbelt retracting ECU when a driver of a vehicle is determined to be in an abnormal state where the driver loses an ability to drive the vehicle. Thereby, an upper body of the driver in a weak state is pulled strongly toward a backrest side of a seat. As a result, the driver's upper body is prevented from falling and covering a steering wheel, and LKA (traffic lane keeping control) can be performed properly. The driving support ECU decelerates the vehicle at a target deceleration a to stop the vehicle after outputting the instruction to retract the seatbelt.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.