An image processing device and an image processing method are disclosed. The image processing device includes a memory storing a first image transmitted from a first camera and a second image transmitted from a second camera with a wider view angle than the first camera, and a processor processing the first and second images. When a target is specified in a first area in which the first image and the second image overlap each other within an augmented reality screen generated based on at least one of the first and second images, the processor extracts target information on the target based on data for the first image, and generate augmented reality data based on the target information so that a visual object corresponding to the target is displayed on the first area.

A vehicle driving support device performs extraneous matter notification for notifying an occupant of a vehicle that extraneous matter is adhered to a viewing-angle window part which is a part of a window of the vehicle in a viewing angle range of an onboard camera which is mounted in the vehicle such that an outside view from the vehicle is imaged from the inside of the vehicle or a camera lens which is a lens of the onboard camera, performs a process of detecting the extraneous matter adhering to the viewing-angle window part or the camera lens when the vehicle is stopped, and does not perform the extraneous matter notification even if the extraneous matter adhering to the viewing-angle window part or the camera lens is detected when the vehicle is stopped and is not in a state in which the vehicle is predicted to be about to start traveling.

In various examples, sensor data used to train an MLM and/or used by the MLM during deployment, may be captured by sensors having different perspectives (e.g., fields of view). The sensor data may be transformed—to generate transformed sensor data—such as by altering or removing lens distortions, shifting, and/or rotating images corresponding to the sensor data to a field of view of a different physical or virtual sensor. As such, the MLM may be trained and/or deployed using sensor data captured from a same or similar field of view. As a result, the MLM may be trained and/or deployed—across any number of different vehicles with cameras and/or other sensors having different perspectives—using sensor data that is of the same perspective as the reference or ideal sensor.

Provided is a head-up display for a vehicle. The head-up display may include a camera configured to capture an image of a road ahead of the vehicle. The camera may further be configured to be in communication with a processor. The head-up display may also include a display in communication with the processor. The processor may be configured to select a route on a map between a current position of the vehicle and a destination selected by a user, receive the image from the camera, correlate the image to an area of the map, and control the display to display an indication indicating the route. Based on correlation of the image to the area of the map, the indication on the display may be substantially aligned with the road when viewed from front of the display. Other embodiments are disclosed and additional embodiments are also possible.

In a vehicle driving assistance apparatus, an approach recognizer is configured to recognize whether a vehicle has approached an intersecting road that is a road intersecting a road of travel on which the vehicle is traveling. A road surface recognizer is configured to recognize a road surface in an image of surroundings of the vehicle captured by a camera mounted to the vehicle. An image switcher is configured to, in response to the approach recognizer recognizing that the vehicle has approached the intersecting road, determine whether the road surface recognizer has recognized a road surface of the intersecting road, and in response to the road surface recognizer recognizing the road surface of the intersecting road, switch a display image on a display device mounted to the vehicle, for displaying driving guidance for the vehicle, to an image of the intersecting road captured by the camera.

Provided herein is an apparatus for displaying a forward blind spot situation. The apparatus for displaying a forward blind spot situation includes a front camera capturing a blind spot of a driver, a display device displaying image information on the blind spot of the driver captured through the front camera, and a processor controlling the image information on the blind spot of the driver captured through the front camera to be seamlessly output at a position of a driver's gaze.

A display control apparatus comprising: a display control unit configured to display an image such that the image is superimposed on a visual field region of a driver of a vehicle; and a detection unit configured to analyze a line of sight of the driver and detect a viewpoint of the driver in the visual field region that is obtained as a result of the analysis, wherein the display control unit subjects a predetermined region in the visual field region to display control, and based on a result of determination of overlapping between the predetermined region in the visual field region and the viewpoint of the driver detected by the detection unit, if the overlapping satisfies a condition, the display control unit changes a mode of the display of the image.

An Augmented Reality (AR) display device interoperating with a vehicle and a method for operating the same are disclosed. An AR display device interoperating with a vehicle according to the present disclosure can predict a context in which a problem may occur by additionally considering an external resource in addition to map data and sensing data as internal resources while the vehicle travels, and display the predicted context by varying an AR graphic interface in real time, thereby intuitively notifying a driver of the predicted context and a countermeasure therefor. At this time, an AR object separated from the AR graphic interface not only displays a guide for the predicted context but also provides a corresponding guide for safe driving in the predicted context.

An Augmented Reality (AR) display device interoperating with a vehicle and a method for operating the same are disclosed. An AR display device interoperating with a vehicle according to the present disclosure can predict a context in which a problem may occur by additionally considering an external resource in addition to map data and sensing data as internal resources while the vehicle travels, and display the predicted context by varying an AR graphic interface in real time, thereby intuitively notifying a driver of the predicted context and a countermeasure therefor. At this time, an AR object separated from the AR graphic interface not only displays a guide for the predicted context but also provides a corresponding guide for safe driving in the predicted context.

A display of roadside objects on a vehicle windshield within a primary field of view of a driver, with an indication of a level of importance of the object is provided. A method includes: detecting, by a computer device, a roadside object in a vehicle driver's peripheral view; analyzing, by the computer device, the detected roadside object to assign a level of importance to the object based on predefined levels of importance; and displaying, by the computer device, the roadside object as a semi-transparent object in a display area of a windshield of the vehicle with an indication of the level of importance of the object.