A method for a sensor-based and memory-based representation of a surroundings of a vehicle. The vehicle includes an imaging sensor for detecting the surroundings. The method includes: detecting a sequence of images; determining distance data on the basis of the detected images and/or of a distance sensor of the vehicle, the distance data comprising distances between the vehicle and objects in the surroundings of the vehicle; generating a three-dimensional structure of a surroundings model on the basis of the distance data; recognizing at least one object in the surroundings of the vehicle on the basis of the detected images, in particular by a neural network; loading a synthetic object model on the basis of the recognized object; adapting the generated three-dimensional structure of the surroundings model on the basis of the synthetic object model and on the basis of the distance data; and displaying the adapted surroundings model.

The present application relates to a method and apparatus for generating a graphical user interface indicative of a vehicle underbody view including a LIDAR operative to generate a depth map of an off-road surface, a camera for capturing an image of the off-road surface, a chassis sensor operative to detect an orientation of a host vehicle, a processor operative to generate an augmented image in response to the depth map, the image and the orientation, wherein the augmented image depicts an underbody view of the host vehicle and a graphic representative of a host vehicle suspension system, and a display operative to display the augmented image to a host vehicle operator. A static and dynamic model of the vehicle underbody is compared vs the 3-D terrain model to identify contact points between the underbody and terrain are highlighted.

A vehicle image processing device includes a camera that images surroundings of a vehicle and outputs video data. An image extraction unit extracts an image from the video data when a predetermined operation for instructing image acquisition is performed, and an image processing unit processes the extracted image in accordance with a field of view of the user in a vehicle interior. A display processing unit and a display device display the processed image on a screen arranged at a position aligned with a line of sight of the user.

A vehicular trailering assist system includes a vehicle rear backup camera disposed at a rear portion of a vehicle and viewing at least rearward of the vehicle. A trailer hitched to the vehicle includes a trailer rear camera disposed at a rear portion of the trailer and viewing at least rearward of the trailer. The control displays at a display device in the vehicle a surround view image using an avatar of the vehicle and an avatar of the trailer. The control stitches images derived from image data captured by the vehicle rear backup camera and images derived from the trailer rear camera to provide a transparent trailer view, and the display device displays transparent trailer view video images. Responsive to the vehicle being shifted into a reverse gear, the display device automatically displays rear backup images derived from image data captured by the trailer rear camera.

A vehicle camera system and method for operating a vehicle camera system comprising a vehicle camera with communication capabilities. The vehicle camera operating in conjunction with other components to provide information to users. The vehicle camera system compiles information from multiple components into a single repository of video recordings with information, such as location information, vehicle status and diagnostic information, alert information and other information.

Disclosed herein is a control method of an electronic apparatus. The control method of an electronic apparatus includes: detecting a crosswalk from an image data photographed in a camera during a period in which a vehicle is operated; generating an object indicating the detected crosswalk; and outputting the generated object through augmented reality.

A system uses data captured by vehicle-mounted sensors to generate a view of a ground surface. The system does this by receiving digital image frames and associating a location and pose of the vehicle that captured the image with each digital image frame. The system will access a three dimensional (3D) ground surface estimation model of the ground surface, select a region of interest (ROI) of the ground surface, and select a vehicle pose. The system will identify digital image frames that are associated with the pose and also with a location that corresponds to the ROI. The system will generate a visual representation of the ground surface in the ROI by projecting ground data for the ROI from the ground surface estimation model to normalized 2D images that are created from the digital image frames. The system will save the visual representation to a two-dimensional grid.

A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a light source detection unit and a control unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the adjacent lane. The three-dimensional object detection unit determines the presence of the three-dimensional object within the adjacent lane-when the difference waveform information is at a threshold value or higher. The control unit set a threshold value higher so that the three-dimensional object is more difficult to detect in a forward area than rearward area with respect to a line connecting the light source and the image capturing unit when the light source has been detected.

A technique for rendering an under-vehicle view including obtaining a first location of a vehicle, the vehicle having a set of cameras disposed about the vehicle, capturing a set of images; storing images of the set of images in a memory, wherein the images are associated with a time the images were captured, moving the vehicle to a second location, obtaining the second location of the vehicle, determining an amount of time for moving the vehicle from the first location to the second location, generating a set of motion data, the motion data indicating a relationship between the second location of the vehicle and the first location of the vehicle, obtaining one or more stored images from the memory based on the determined amount of time, rendering a view under the vehicle based on the one or more stored images and set of motion data, and outputting the rendered view.

An image recording device for a vehicle includes: an image acquisition section configured to acquire a surroundings image in which vehicle surroundings have been captured; an image display section configured to display an overlaid image in a display region inside a vehicle cabin in a case in which a predetermined assisted driving condition has been satisfied, the overlaid image being configured by an assistance image overlaid on the surroundings image acquired by the image acquisition section; and an image recording section configured to record the overlaid image at a recording section during an assisted driving state in which the overlaid image is being displayed in the display region, and, in a case in which the assisted driving state is not in effect, record at the recording section an image that has been subjected to image processing including processing to render a state in which the assistance image is not visible.