A drowsiness sign notification system applied to a vehicle includes a driver monitor and a controller. The driver monitor detects a driver state being a state of a driver of the vehicle. The controller executes a drowsiness sign determination process that determines whether or not the driver shows a drowsiness sign based on the driver state. When it is determined that the driver shows the drowsiness sign, the controller executes a first drowsiness sign notification process that gives a first drowsiness sign notice to the driver through display or vibration without using audio. When it is determined again that the driver shows the drowsiness sign after the first drowsiness sign notification process, the controller executes a second drowsiness sign notification process that gives a second drowsiness sign notice to the driver through audio.

A system for a vehicle with a drive assistance system for an automatic drive includes an adjustment module for an electric seat setting of a driver seat and a control module that is designed such that, during an automatic drive operation of the vehicle, a seat setting of the vehicle seat is kept in a range which is suitable for allowing the driver to assume guidance of the vehicle.

A method for adaptively optimizing an autonomous driving system includes obtaining a driving intent of a driver of a target vehicle, wherein the target vehicle is an autonomous driving vehicle controlled by the autonomous driving system, detecting, based on the driver's driving intent, that a conflict exists between a first driving behavior of the target vehicle controlled by the autonomous driving system and the driver's driving intent, and updating the autonomous driving system such that a driving behavior of the target vehicle controlled by an updated autonomous driving system matches the driving intent.

A vehicle recording device includes: a mode acquisition unit configured to acquire a signal indicative of an operating mode of an autonomous driving processing unit; a recording target setting unit configured to change a recording target in accordance with the operating mode; and a recording processing unit configured to store information of the recording target set by the recording target setting unit into a data storage unit. The recording target setting unit is further configured to: set a face image of an occupant in a driver's seat as the recording target when the autonomous driving processing unit operates in a level 3 mode; and not set the face image as the recording target when the autonomous driving processing unit operates in an occupant involvement mode.

State information can be determined for a subject that is robust to different inputs or conditions. For drowsiness, facial landmarks can be determined from captured image data and used to determine a set of blink parameters. These parameters can be used, such as with a temporal network, to estimate a state (e.g., drowsiness) of the subject. To improve robustness, an eye state determination network can determine eye state from the image data, without reliance on intermediate landmarks, that can be used, such as with another temporal network, to estimate the state of the subject. A weighted combination of these values can be used to determine an overall state of the subject. To improve accuracy, individual behavior patterns and context information can be utilized to account for variations in the data due to subject variation or current context rather than changes in state.

Disclosed herein is a control apparatus included in a vehicle in automated vehicle and highway systems, the control apparatus including: a steering wheel having at least one touch screen on which a screen for manipulating at least one of the functions of the vehicle is output In addition, a control unit determines an intention of the user related to a selection of any one of the functions of the vehicle and controls a screen for manipulating a function according to the determined intention of the user to be output.

Redundant vehicle controls based on user presence and position are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle. The sensing zone is associated with a primary driving interface of the vehicle. Determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and that the vehicle is in a non-seated drive mode where the driver is permitted to operate the vehicle while not being in the fully-seated position. Activating a secondary driving interface of the vehicle when the driver is not in a fully-seated position and the vehicle is in the selected driving mode. The secondary driving interface can be used in combination with the primary driving interface.

Disclosed embodiments include techniques for providing alerts to a driver of a vehicle. The techniques include detecting a condition that exceeds a threshold hazard potential; detecting a predetermined gesture of a driver, the predetermined gesture indicating that the driver has acknowledged the detected condition; in response to detecting the predetermined gesture, reducing an urgency level for alerting the driver of the detected condition; and determining whether to issue an alert to the driver based on the reduced urgency level.

The driving assistance device includes a movement detecting unit detecting an attitude changing movement for changing the attitude of a driver seat or a steering wheel of a vehicle capable of traveling in an automated driving mode in which a driver need not perform driving operations during traveling, a hold detecting unit detecting whether or not the steering wheel is held by the driver, and a hold requesting unit starting a holding request asking the driver to hold the steering wheel if the movement detecting unit has detected the attitude changing movement in the automated driving mode and if the hold detecting unit has not detected hold of the steering wheel.

A vehicle having one or more cameras, configured to record one or more images of a driver of the vehicle. The camera(s) can be configured to send biometric image data derived from the image(s). The vehicle can include a computing system configured to receive the biometric data and to determine a risk score of the driver based on the received biometric data and an AI technique, such as an ANN or a decision tree. The received biometric data or a derivative thereof can be input for the AI technique. The computing system can also be configured to transmit the risk score of the driver to the customer so that the customer can decide whether to book the vehicle for a ride.