An object is to provide a warning output device, a warning output method, and a warning output system that make it possible to appropriately output warning. A warning output device includes: a driver's state acquisition unit configured to acquire inattentive driving information indicating that a driver performs inattentive driving; a vehicle state acquisition unit configured to acquire a vehicle state; a vehicle warning reception unit configured to receive vehicle warning, which is warning corresponding to the vehicle state; an adaptive rule acquisition unit configured to acquire adaptive rule information generated when the driver performs inattentive driving and the warning is received; and an output unit configured to output inattentive driving warning, which is warning related to inattentive driving when the driver's state acquisition unit acquires the inattentive driving information and the vehicle state satisfies a predetermined condition specified in the adaptive rule information.

The present invention provides a vehicle control apparatus for controlling traveling of a vehicle, the apparatus comprising: a stop control unit configured to move the vehicle in a vehicle width direction and stop the vehicle in a traveling state; a notification unit configured to make a notification of the stop of the vehicle; and a change unit configured to change a notification method by the notification unit in accordance with a stop mode of the vehicle stopped by the stop control unit.

Described are techniques for fair anomaly detection. The techniques include generating an anomaly detection model based on a Gaussian distribution of historical data, a mean vector of the Gaussian distribution, and a precision matrix of the Gaussian distribution. The mean vector and the precision matrix can be generated by reducing a function below a threshold, where the function can include the Gaussian distribution, a first regularization term configured to generate similar anomaly scores for inputs with similar fair features and independent of unfair features, and a second regularization term configured to generate similar anomaly localization scores for the inputs with the similar fair features and independent of the unfair features. The techniques further include inputting a new data to the anomaly detection model and generating an anomaly score and an anomaly localization score associated with the new data based on the Gaussian distribution, the mean vector, and the precision matrix.

A stop assist device is equipped with an operation switch that is operated to activate and deactivate a hazard lamp of a vehicle. The stop assist device starts stop assist control for stopping the vehicle through automatic deceleration of the vehicle and starts activating the hazard lamp from an abnormality detection timing when it is determined that an abnormality condition that is fulfilled when a driver falls into an abnormal state in which the driver is unable to drive the vehicle is fulfilled. The stop assist device continues to perform stop assist control when the operation switch is operated before the lapse of a predetermined invalid time from the abnormality detection timing during the performance of stop assist control, and ends stop assist control when the operation switch is operated after the lapse of the invalid time from the abnormality detection timing during the performance of stop assist control.

An apparatus and a method for controlling the output of driver information to a driver of a vehicle, with the objective of entertaining the driver and/or the passengers of the vehicle and/or increasing the driver attentiveness of the driver. A database of points of interest or objects of general interest, a database of topographic information, a device for determining the whereabouts of the vehicle, and an evaluation device to which these information items are delivered, are provided. The evaluation device ascertains, from the current whereabouts of the vehicle and from the topographic information, which points of interest or objects of general interest are present in the driver's field of view, and outputs via an output device the driver information regarding the point of interest or the object of general interest which has been ascertained by the evaluation device to be located in the driver's field of view.

The present invention relates to a method of evaluating a current risk of mismatch between actual driving automation capabilities of a vehicle and driving automation capabilities of the vehicle expected by a driver. The method comprises monitoring at least one physical property of the driver indicative of a gaze direction; determining a first visual attention metric value indicative of a level of visual attention to the road ahead; comparing the first visual attention metric value to a first threshold value; and providing, when the comparison indicates that the current level of visual attention to the road is lower than the first threshold level, a signal indicative of an elevated risk of expectation mismatch.

A pattern recognition system receives an image captured by an image capture device, of an operator and the operator is identified. Operator information is accessed, based upon the identified operator, and a control signal is generated to control a mobile machine, based upon the operator information.

A vehicle safety support apparatus includes: a driver monitoring unit configured to monitor a driver; an external environment monitoring unit configured to monitor an external environment of a vehicle; and a control unit configured to: perform a controlled lane keeping function based on data acquired from the driver monitoring unit and the external environment monitoring unit; detecting whether a driver reacts to the controlled lane keeping function; determine a driving control for the vehicle in response to the driver not reacting to the controlled lane keeping function; perform autonomous driving to move the vehicle to a safe area, in response to determining to take over the driving control from the driver.

A method of monitoring for circumvention of an ignition interlock system is described herein including detecting an electrical parameter associated with an electrical power state of a vehicle electrical system in a vehicle comprising an ignition interlock device that includes at least a relay device and a controller device electrically interconnected within the vehicle electrical system, measuring a rate of degradation associated with the electrical parameter of the vehicle electrical system, and comparing the electrical parameter to a threshold condition. The method further includes comparing the rate of degradation of the electrical parameter to a threshold rate. Depending on the rate of degradation, a violation state may be generated, a violation state may be reversed, a violation state may be maintained, a log entry may be generated, or more than one of these may occur.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed UVB exposure patterns, where the driver's UVB exposure levels may serve as a proxy for vitamin D levels in that driver's body. A smart ring, wearable on a user's finger, continuously monitors user's exposure to UVB light. This UVB exposure data, representing UVB exposure patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed UVB exposure patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sunlight exposure before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from insufficient UVB exposure.