A method for displaying points of interest on a digital map on a display, each point of interest being assigned at least one category and the space in front of the display being segmented into spatial regions where each spatial region is assigned a category. The method includes detecting the position of a hand of a user or part of the hand of the user by sensors, more particularly by cameras, identifying the spatial region in which the position of the hand or the part of the hand lies, identifying the category assigned to the identified spatial region, and displaying or highlighting the points of interest that have been assigned to the identified category.

A device that uses brainwave activity to allow a user to perform hands-free tasks is disclosed. For example, the device can include a transparent display, an electroencephalogram (EEG) sensor, and a processing circuitry coupled to the transparent display and the EEG sensor. The EEG sensor can be configured to sense an EEG signal corresponding to brain activity associated with a user of the device. The processing circuitry can be configured to display a visual stimulus on the transparent display and generate a control signal associated with a task of the user based on the EEG signal. Therefore, the user can use his brainwave activity to perform hands-free tasks.

A display type vehicle switch operating apparatus includes a receiver that receives driving information related to an external driving situation of a vehicle and display state information of a display of the vehicle, a highlight indication information generator that generates highlight indication information of a symbol displayed on the display based on the received driving information and the received display state information, and a controller that highlights the symbol displayed on the display based on the generated highlight indication information.

A method includes detecting a direction of view of at least one passenger as an occupant of the motor vehicle; and providing a display with information about at least one object in a landscape of the motor vehicle viewed by the at least one passenger, the at least one object not being relevant to road traffic, such that said information is provided in an area in the direction of view of the at least one passenger, wherein, when multiple passengers of the motor vehicle are detected, a direction of view of each passenger is detected, such that a display with information about the at least one object in the landscape of the motor vehicle viewed by at least two passengers is provided in an area in which the direction of view of the at least two passengers intersect.

Provided are an image processing method and an image processing device. The image processing method includes generating an image based on viewpoint information of a user; rendering the image based on information about what is in front of the user; and outputting the rendered image using an optical element.

The action schedule item creation ECU creates action schedule items demanded of an ego vehicle capable of switching between autonomous driving and manual driving. The HUD and the meter display are provided inside a cabin of the ego vehicle. The display control ECU displays the action schedule items created by the action schedule item creation ECU on the HUD and the meter display, and emphasizes display of action schedule items to be performed by manual driving compared to display of action schedule items to be performed by autonomous driving.

Disclosed is a system for controlling a vehicle display. The system includes a display and processors that confirm an external interest information of a first occupant in a vehicle; and a display controller that performs control to display the external interest information of the first occupant through the vehicle display.

Provided are an electronic device mounted on a vehicle and an operating method of the electronic device. An electronic device, according to an embodiment of the disclosure, obtains a surrounding environment image by using a camera, detects at least one object from the surrounding environment image by using an artificial intelligence (AI) model, receives a vehicle to everything (V2X) data set including information about the at least one object, selects a first object in the detected at least one object by a user input, obtains information about a type of the first object by using a detection result determined based on the surrounding environment image and the received V2X data set, and displays a user interface (UI) for wireless communication connection with the first object, based on the information about the type of the first object.

The attention calling system includes the classification unit for classifying an object into a category based on a traffic scene, the risk calculation unit for calculating the risk value with respect to contact with the object based on the category, and the attention calling unit for outputting the visual display in the horizontally extending belt-like range on the windshield of the moving body. The attention calling unit outputs the visual display in the mode adapted to the risk value of the object.

A method is disclosed for driving an emergency reaction system within a moving motor vehicle carrying at least one vehicle occupant. The method includes monitoring health conditions of the vehicle occupant. The method also includes determining whether the health conditions are below a critical threshold and, if so, continuing to monitor the health conditions of the vehicle occupant. If the health conditions exceed the critical threshold, an emergency alert is issued without waiting for the motor vehicle to stop, and an autonomous safe stop maneuver is performed if the motor vehicle is moving autonomously or includes an autonomous driving system and is allowed to operate automatically.