A test system for detecting impairment aboard a motor vehicle includes an electronic control unit (ECU) and sensors in communication therewith. The sensors are positioned within a vehicle interior, and include at least a touch screen and a microphone, and possibly an eye-tracking camera. In response to receiving a start request indicative of a requested start event of the motor vehicle, the ECU executes instructions to initiate a cognitive response test via the sensors. The ECU determines a test score of a driver during the test while the motor vehicle remains off, compares the test score to baseline scores to determine a passing or failing test result, and executes a control action aboard the motor vehicle in response to the passing or failing test result. The ECU may disable or immobilize the motor vehicle in response to the failing test result.

A system and method for classifying a type of calibration or maintenance event of a phone location unit (PLU) within a defined volume, based on at least one sensor, the method comprising: determining a position of the at least one mobile communication device relative to a frame of reference of the defined volume; obtaining at least one sensor measurement related to the at least one mobile communication device, from a sensor located on at least one of: the at least one mobile communication device, within the defined volume, or outside of the defined volume; and using a computer processor to classify the type of calibration or maintenance event of the PLU, into one of a plurality of predefined types of calibration or maintenance event, based on the position and the at least one sensor measurement.

A system and method for classifying a mode of operation of a mobile communication device within a defined volume, based on multiple sensors are provided herein. The method may include the following steps: determining a position of the mobile communication device relative to a frame of reference of the defined volume, based on any of: angle of arrival, time of flight, or received intensity of radio frequency (RF) signals transmitted by the mobile communication device and received by a phone location unit located within the defined volume configured to wirelessly communicate with the at least one mobile communication device; obtaining at least one sensor measurement related to the mobile communication device from various non-RF sensors; and using a computer processor to classify the mobile communication device into one of many predefined modes of operation of the mobile communication device, based on the position and the sensor readings.

A driving assistance system for a vehicle, in particular a motor vehicle, includes a user interface module which is set up for interaction with a driver The user interface module is further set up to: output at least two questions in relation to a driving assistance function to the driver sequentially; and receive a user input of the driver for answering the at least two questions. A control module is set up to activate and/or operate the driving assistance function based on a composition of incorrectly answered and correctly answered questions from the at least two questions, wherein the driving assistance function is activated only when a minimum number of questions and/or a specific subgroup of the at least two questions have been answered correctly at least in part.

A monitoring system for determining driver readiness for takeover of vehicle control from an autonomous driving system is provided. The monitoring system may include an evaluation processor and a driver monitoring system. The evaluation processor may access driver data from the driver monitoring system. The driver monitoring system may include one or more driver monitoring sensors that capture attributes of the driver indicative of driver ability to take over vehicle control. The evaluation processor may prompt the driver for an affirmative confirmation of takeover in response to a takeover request from an autonomous driving system and the sensed attributes of the driver indicative of the driver being ready to take over vehicle control.

A vehicle system is provided. The vehicle system includes a first driving input device, a second driving input device, and an autonomous vehicle control module. The autonomous vehicle control module is configured to monitor a driving behavior of a first driver operating the first driving input and to automatically transfer vehicle control of a vehicle from the first driver to the second driver when one or more requirements are met based on the driving behavior of the first driver. The autonomous vehicle control module is further configured to analyze switching of vehicle control between the first driver and the second driver.

Systems and methods for verifying whether vehicle operators are paying attention are disclosed. Exemplary implementations may: generate output signals conveying information related to a first vehicle operator; make a first type of determination of at least one of an object on which attention of the first vehicle operator is focused and/or a direction in which attention of the first vehicle operator is focused; make a second type of determination regarding fatigue of the first vehicle operator; make a third type of determination of at least one of a distraction level of the first vehicle operator and/or a fatigue level of the first vehicle operator; and effectuate a notification regarding the third type of determination to at least one of the first vehicle operator and/or a remote computing server.

This disclosure relates to a system and method for transitioning vehicle control between autonomous operation and manual operation. The system includes sensors configured to generate output signals conveying information related to the vehicle and its operation. During autonomous vehicle operation, the system gauges the level of responsiveness of a vehicle operator through challenges and corresponding responses. The system determines when to present a challenge to the vehicle operator based on internal and external factors. If necessary, the system will transition from an autonomous operation mode to a manual operation mode.

In one example, a computing device includes one or more user input detection components, and one or more processors configured to receive an indication of a first user input detected by the one or more user input detection components, responsive to receiving the indication of the first user input, adjust a level of an attention buffer at a defined rate; responsive to determining that the level of the attention buffer satisfies a first threshold, prevent further interaction with a user interface of the computing device, responsive to determining that an indication of a second user input has not been received within a time period, adjust a level of the attention buffer, and responsive to determining that the level of the attention buffer satisfies a second threshold, allow further interaction with the user interface.

A driving force control apparatus including an ECU configured to detect a specific state of a vehicle, wherein the vehicle is not traveling even though an accelerator pedal of the vehicle is operated. The ECU of the driving force control apparatus being configured to acquire, when the specific state is detected, a travel distance of the vehicle from a time point when the specific state last ended. The ECU of the driving force control apparatus being configured to start driving-force-limitation mitigation control without requiring the specific state currently detected to continue for a predetermined period or longer, when the travel distance is a distance corresponding to a wheelbase.