An onboard system equipped to a vehicle includes a vehicle control device controlling a switching of a driving mode of the vehicle between a manual driving and a self-driving, and a brain activity sensor capable of detecting an activated portion of a brain of a driver of the vehicle. The vehicle control device determines whether a degree of uneasiness felt by the driver exceeds a threshold or not based on a detection result detected by the brain activity sensor before the switching of the driving mode. When determining that the degree of uneasiness felt by the driver does not exceed the threshold, the vehicle control device switches the driving mode. When determining that the degree of uneasiness felt by the driver exceeds the threshold, the vehicle control device performs a vehicle control corresponding to the degree of uneasiness felt by the driver.

A vehicle includes an autonomous driving device that executes autonomous drive control; a track generation section that generates a travel track of the vehicle based on an estimation result by a self-position estimation section and a recognition result by an object recognition section; an actuator that moves the vehicle so that the vehicle travels along the travel track; a trigger input pedal disposed at a left side from an accelerator pedal and a brake pedal 102, seen from a driver; and an autonomous drive control start determination section that starts the autonomous drive control when an autonomous drive control start trigger is inputted via the trigger input pedal and it is determined that start of the autonomous drive control is possible.

A vehicle travel control apparatus includes an actuator and an electronic control unit. The electronic control unit is configured to determine whether a driver of a vehicle is in an abnormal state where the driver loses an ability of driving the vehicle. The electronic control unit is also configured to stop the vehicle at an abnormality determination time point onward, and control a vehicle speed by using the actuator such that the vehicle speed does not become lower than a lower limit vehicle speed in a period from the abnormality determination time point to a time point when the vehicle is stopped. The lower limit vehicle speed is set in accordance with a road shape influencing timing when a driver of another vehicle traveling behind the vehicle visually recognizes the vehicle.

An information presentation control apparatus includes a selection information obtainer and a presentation controller. The selection information obtainer obtains selection information representing a selection status of a plurality of recognizers that recognize different targets in surroundings of an autonomous vehicle. The presentation controller causes a presentation device mounted in the autonomous vehicle to present driving information in accordance with the selection information, the driving information being based on at least one of control that is executable by the autonomous vehicle and control that is not executable by the autonomous vehicle and being information about at least one of driving by an automated driving system of the autonomous vehicle and driving by a driver.

A vehicle control system including a driving controller, a detection section, a state prediction section, and a switching section. The driving controller controls to switch to either automated driving in which driving support is performed for at least one out of speed control or steering control of a vehicle by implementing any of plural driving modes having different levels of automated control, or manual driving performed based on operations of a driver of the vehicle on both the speed control and the steering control of the vehicle. The detection section detects a change to a surrounding environment of the driver. A state prediction section predicts a state unsuitable for the driver to drive will arise based on the change. The switching section switches the driving mode to a driving mode with a high level of automated control when the state unsuitable to drive is predicted to arise.

A system and method for monitoring and managing a cognitive load of an occupant of a vehicle, including: determining, based on analysis of a first set of sensory inputs received from a first set of sensors from a cabin of the vehicle, a current cognitive load score of an occupant of the vehicle; determining, based on an analysis of a second set of sensory inputs, a current state of the vehicle; analyzing the current cognitive load score of the occupant with respect to the current state of the vehicle; and, selecting at least one predetermined plan for execution based on a determination that a reduction of the current cognitive load score of the occupant is desirable, wherein the determination is based on a result of the analysis of the current cognitive load score of the occupant and the current state of the vehicle.

A device, method and computer program product provide driver state estimation. A first index value correlated with an amount of an attention source allocated to top-down attention of a driver and a second index value correlated with an amount of the attention source allocated to bottom-up attention of the driver are determined. The driver state including an attention function degraded state of the driver is estimated based on the first index value and the second index value. A vehicle being operated by the driver may be controlled in accordance with the estimated driver state.

A driving assist apparatus comprises a driver monitor sensor which detects a state of a driver of an own vehicle installed with the driving assist apparatus. The apparatus determines whether the driver is in a drowsy state, based on the state of the driver detected by the driver monitor sensor. The apparatus determines that a light collision occurs when a light collision determination condition that at least one collision index value representing a level of a collision of the own vehicle is larger than a light collision determination threshold at which an airbag is not developed, is satisfied. The apparatus executes a secondary collision damage mitigation control to apply a braking force to the own vehicle or limit a driving force applied to the own vehicle when determining that the driver is in the drowsy state, and the light collision occurs.

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.

A method and device for monitoring fatigued driving. The device comprises a processor, a monitoring unit an alarm unit and an inflating unit connected to the processor. The processor is used to obtain a monitor result, transmit, according to the monitor result, an alarm instruction to the alarm unit, and transmit an air inflation instruction to inflating unit upon obtaining the monitor result again after transmitting the alarm instruction. The monitor unit is used to monitor, in real time, a driving state of the driver, and transmit data indicating the driving state of the driver; the alarm unit (12) is used to receive the alarm instruction, and provide the alarm according to the alarm instruction; and the inflating unit is used to receive the air inflation instruction, and fill air according to the air inflation instruction.