A method and apparatus for providing a human-machine interface (HMI) mode of a vehicle are provided. The method, performed by a device of vehicle, for providing a human-machine interface (HMI) mode includes, determining an occupant's state, determining an HMI mode corresponding to the occupant's state among a plurality of predefined HMI modes, and providing guidance information to the occupant in a medium-specific output scheme corresponding to the determined HMI mode.

An adaptive trust calibration based autonomous vehicle may include vehicle systems, a system behavior controller, and a driving automation controller. The system behavior controller may generate a driving automation signal indicative of a desired autonomous driving adaptation. The driving automation controller may control the vehicle systems based on parameters including a desired velocity, current velocity of the autonomous vehicle, desired minimum gap distance between the autonomous vehicle and a detected object, current gap distance gap between the autonomous vehicle and a detected object, relative velocity of the detected object with respect to the autonomous vehicle, desired time headway, desired maximum acceleration, desired braking deceleration, and an exponent. The driving automation controller may receive the driving automation signal and implement the desired autonomous driving adaptation via the vehicle systems by adjusting the parameters based on a type of object associated with the detected object.

A method, medium, and apparatus for educating and reducing risk to inexperienced drivers using vehicles with autonomous navigation systems. Data regarding a driver's past experience with vehicles and operating environments may be used to proactively warn the driver about a potential danger detected or predicted by the vehicle. An autonomous vehicle may prevent the driver from operating the vehicle under unfamiliar circumstances or from causing a collision. Data regarding a driver's past experience with vehicles and the safety features thereof may be used to mitigate risk of injury or property damage by selectively activating safety features in a new vehicle which the driver has not previously driven. Data regarding a driver's past experience with vehicles and safety features thereof may be used to determine a decreased or increased rental rate for a particular vehicle.

An information presentation control device includes: an analyzer to calculate a degree of risk based on information regarding an object located around a vehicle; an occupant monitor to determine whether a driver is aware of approach of the object, based on information obtained by imaging the driver with a camera; an image processor to cause at least one of the displays to perform alerting display, based on the degree of risk; and a sound processor to cause the sound output device to generate, as an alerting sound, a sound whose sound image is controlled so that a virtual sound source is localized at a position of at least one of the at least one display, based on the degree of risk. When the driver is aware of the object, the sound processor stops generation of the alerting sound or decreases a sound volume of the alerting sound.

It is presented a method performed in a vehicle action determiner for determining an undesired action of a first vehicle and a resulting action. The method comprises: detecting that a first user is focusing on the first vehicle; acquiring brain activity data of the first user; determining a negative reaction of the first user based on the brain activity data; determining when the first vehicle is performing an undesired action based on the first user focusing on the first vehicle and the negative reaction of the first user; determining the resulting action taken by an autonomous vehicle, based on the first vehicle performing the undesired action; and triggering the autonomous vehicle to perform the resulting action.

The present invention obtains a processor, a processing method, a warning system, and a straddle-type vehicle capable of improving both the rider's safety and the rider's comfort. A processor (20) includes: an acquisition section that acquires surrounding environment information corresponding to output of a surrounding environment detector (11) during travel of a straddle-type vehicle (100); a determination section that determines necessity of warning operation provided to the rider and generated by the warning system (1); and a control section that makes an alarm (30) perform the warning operation in the case where the determination section determines that the warning operation is necessary. The acquisition section further acquires helmet posture direction information corresponding to output of a helmet posture direction detector (13) during the travel of the straddle-type vehicle (100). The determination section determines the necessity of the warning operation on the basis of the surrounding environment information and the helmet posture direction information.

This technology relates to dynamically detecting, managing and mitigating driver fatigue in autonomous systems. For instance, interactions of a driver in a vehicle may be monitored to determine a distance or time when primary tasks associated with operation of the vehicle or secondary tasks issued by the vehicle computing were last performed. If primary tasks or secondary tasks are not performed within given distance thresholds or time limits, then one or more secondary tasks are initiated by the computing device of the vehicle. In another instance, potential driver fatigue, driver distraction or overreliance on an automated driving system is detected based on gaze direction or pattern of a driver. For example, a detected gaze direction or pattern may be compared to an expected gaze direction or pattern given the surrounding environment in a vicinity of the vehicle.

The vehicle controller includes a processor configured to determine whether a behavior of a driver of the vehicle satisfies a predetermined enabling condition after execution of a function of automatically stopping the vehicle. The function is executed due to not satisfying a driver-related condition for continuing the automated driving control of the vehicle. The enabling condition relates to driving control of the vehicle and is not imposed before the execution of the function. The processor is further configured to perform the automated driving control of the vehicle only when the behavior of the driver satisfies the enabling condition.

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.

The present invention relates to a computer-implemented method for capturing a feature of interest observed by a passenger of a vehicle, comprising detecting an excited level of the passenger’s interest based on passenger data generated by monitoring the passenger of the vehicle, thereby generating an interest event; extracting a gaze direction of the passenger relating to the interest event based on the passenger data; and extracting environmental data, generated by monitoring an environment of the vehicle, that relate to the interest event and to the gaze direction, thereby generating partial feature data for the feature of interest observed by the passenger. The present invention further relates to a computer system configured to execute the computer-implemented method for capturing a feature of interest observed by a passenger of a vehicle.