B60W2540/225

METHOD FOR ADAPTIVE LATERAL GUIDANCE OF A MOTOR VEHICLE AND LATERAL GUIDANCE ASSISTANT FOR A MOTOR VEHICLE
20220363283 · 2022-11-17 · ·

A method for adaptive lateral guidance of a motor vehicle method comprises: determining, by a driver state monitoring system of the motor vehicle, an attentiveness level of a driver steering the motor vehicle; and adapting, in case that the attentiveness level of the driver fulfills predefined criteria, a lateral steering configuration of a lateral guidance assistant of the motor vehicle by at least one of i) increasing a lateral steering tolerance for triggering a steering intervention of the lateral guidance assistant, and ii) suppressing a lateral steering intervention of the lateral guidance assistant.

SYSTEMS AND METHODS FOR ADAPTING NOTIFICATIONS ACCORDING TO COMPONENT MONITORING
20220366737 · 2022-11-17 ·

System, methods, and other embodiments described herein relate to adapting notifications according to monitoring states of a vehicle operator. In one embodiment, a method includes acquiring sensor data associated with an operator of a vehicle. The method also includes determining an operator state from the sensor data. The method also includes computing a difference of the operator state to a parameter associated with monitoring a component in the vehicle. The method also includes adapting a notification associated with the component by a controller according to the difference.

ASSESSING DRIVER COGNITIVE STATE

A method, a structure, and a computer system for assessing a cognitive state of a driver of a vehicle. The exemplary embodiments may include collecting data from one or more sensors positioned around the vehicle and calculating a distraction value, an engagement value, and a workload value corresponding to the driver of the vehicle based on the data. The exemplary embodiments may further include determining whether the driver exhibits a low cognitive state based on the distraction value and the engagement value, and, based on determining that the driver exhibits the low cognitive state, assuming control of the vehicle.

SYSTEMS AND METHODS FOR IMPROVING DRIVER ATTENTION AWARENESS
20220363266 · 2022-11-17 ·

Systems and methods for improving driver attention awareness are disclosed herein. One embodiment monitors the attention status of the driver of a vehicle; detects, based on the monitoring, the commencement of a distracted-driving incident; records, during the distracted-driving incident, information pertaining to the distracted-driving incident; detects, based on the monitoring, the end of the distracted-driving incident; and reports, at the earliest opportunity after the end of the distracted-driving incident and prior to the conclusion of the current trip, the information to the driver.

Gaze target detector
11587336 · 2023-02-21 · ·

A gaze target detector includes a line-of-sight detector, a relative speed data acquiring unit, a relative position data acquiring unit, a curvature calculator, a threshold adjuster, and a gaze determination unit. The line-of-sight detector detects the line of sight of an occupant in a vehicle. The relative speed data acquiring unit acquires a relative speed between the vehicle and a gaze target at which the occupant is gazing. The relative position data acquiring unit acquires a relative position between the vehicle and the gaze target. The curvature calculator calculates the curvature of a traveling track of the vehicle. The threshold adjuster adjusts a threshold based on at least one of the relative speed, the relative position, or the curvature. The threshold is used to determine the gaze target. The gaze determination unit determines the gaze target as a gaze event based on the threshold adjusted.

Vehicle-assist system
11584378 · 2023-02-21 · ·

A vehicle-assist system comprising one or more sensors to monitor an environment of a vehicle and an eye-tracking system, including an eye-tracking sensor, to determine a gaze characteristic of a driver of the vehicle. The vehicle-assist system is to detect a hazard, and determine a hazard location of the hazard, in the environment of the vehicle. Based on the hazard location and the gaze characteristic of the driver, the vehicle-assist system is to output an indication of the hazard to the driver.

Reconfigurable throttle-by-wire pedal subsystem for a vehicle and associated methods

The embodiments described herein concern a reconfigurable throttle-by-wire pedal subsystem for a vehicle and associated methods. One embodiment detects a pedal error in which a driver of the vehicle mistakenly actuates an accelerator foot pedal unit of the vehicle instead of a separate brake pedal of the vehicle, the accelerator foot pedal unit controlling a throttle of the vehicle, and performs the following in response to the detected pedal error: reconfiguring the accelerator foot pedal unit to control a braking subsystem of the vehicle instead of the throttle and reconfiguring a haptic feedback of the accelerator foot pedal unit from a throttle-by-wire mode to a brake-by-wire mode.

Systems and Methods for Impairment Baseline Learning
20230048282 · 2023-02-16 · ·

Various embodiments provide systems and methods for identifying impairment using measurement devices.

Autonomous driving control method and device

A method for controlling autonomous driving in an autonomous vehicle includes: determining whether a human driver is in a forward gaze state under an autonomous driving mode, setting a first steering wheel torque threshold and a first torque holding time, based on a result of determining whether the human driver is in the forward gaze state, determining whether human driver intervention has occurred, based on the first steering wheel torque threshold and the first torque holding time, and switching the autonomous driving mode to a manual driving mode when the human driver intervention has occurred.

System and method for providing adaptive trust calibration in driving automation
11498591 · 2022-11-15 · ·

A system and method for providing adaptive trust calibration in driving automation that include receiving image data of a vehicle and vehicle automation data associated with automated of driving of the vehicle. The system and method also include analyzing the image data and vehicle automation data and determining an eye gaze direction of a driver of the vehicle and a driver reliance upon automation of the vehicle and processing a Markov decision process model based on the eye gaze direction and the driver reliance to model effects of human trust and workload on observable variables to determine a control policy to provide an optimal level of automation transparency. The system and method further include controlling autonomous transparency of at least one driving function of the vehicle based on the control policy.