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 method for providing assistance in a parking maneuver of a vehicle combination of towing vehicle and trailer. The method includes: detecting a stationary object with the aid of a backup camera of the towing vehicle; ascertaining that the object is concealed for the backup camera by the trailer; and superimposing an image element representing the concealed object onto an image of the trailer in an image ascertained by the backup camera.

An image processing unit identifies the shape of an obstacle that is identified from an area that appears in a peripheral image based on an image captured by a camera. The shape of the obstacle includes at least a tilt of a section of the obstacle in a road-surface direction. The section of the obstacle faces a vehicle. The image processing unit generates a superimposed image in which a mark image that is generated as a pattern that indicates the identified obstacle is superimposed onto a position that corresponds to the obstacle in the peripheral image. At this time, the image processing unit variably changes properties of the mark image based on the tilt of the obstacle identified by an obstacle identifying unit. The image processing unit then displays the generated superimposed image on display apparatus.

A load-monitoring system includes a vehicle processor and a camera mounted in a trailer. The vehicle, via the processor, displays a first image of a trailer load, received from a trailer-mounted camera and receives selection of a monitoring point on the image, via a touch-sensitive user interface displaying the image or other selection mechanism. The vehicle also receives selection of a fixed point on the image, via the user interface. If the monitoring point moves more than a threshold amount, relative to the fixed point, for example, in subsequent images captured by the camera, the vehicle alerts the driver.

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.

A method, performed by an electronic device installed in a vehicle, of switching a view of an image displayed on a camera monitoring system (CMS) side display, and an electronic device are provided. The disclosure includes an electronic device for displaying, on a camera monitoring system (CMS) side display, a first image representing a surrounding environment image, detecting a lane change signal of the vehicle, and, in response to the detected lane change signal, switching the first image displayed on the CMS side display to a second image representing a top view image showing locations of the vehicle and a surrounding vehicle in a virtual image as looking down from above the vehicle, and displaying the second image, and displaying a lane change user interface (UI) indicating information about whether a lane change is possible on the second image, and an operation method thereof.

In an image generation apparatus, an image acquisition unit is configured to acquire, from at least one camera operable to capture an image of surroundings of a vehicle, a captured image. A bird's-eye view image generation unit is configured to generate a bird's-eye view image from the captured image. A three-dimensional object recognition unit is configured to recognize a three-dimensional object in the captured image. A superimposition-image acquisition unit is configured to acquire a superimposition image that represents the three-dimensional object recognized by the three-dimensional object recognition unit, by performing a process depending on a type of the three-dimensional object recognized by the three-dimensional object recognition unit. A superimposition unit is configured to superimpose, onto the bird's-eye view image, the superimposition image acquired by the superimposition-image acquisition unit, at a position where the three-dimensional object is present in the bird's-eye view image.

This disclosure describes a vehicle system for identifying environmental objects within an operator's surroundings in a first window and removing object obstructions through a neural network in a second window to generate a rendered window, or scene, for display. As more windows are processed, the neural network may increase its understanding of the surroundings. The neural network may be a generative adversarial network (GAN) that may be trained to identify environmental objects by introducing noise data into those environmental objects. After receiving a first window from at least one camera on the vehicle, a rendered window may be created from a second window received from the at least one camera based on environmental objects identified within the first window through the GAN and removing object obstructions. The rendered window, without the object obstructions, and having superimposed environmental objects based on the GAN, may be displayed on an output device.

A system, method, and non-transitory computer-readable medium are provided for creating a freeform field of view mask for a camera in a vehicle to increase the field of view of the camera during operation of the vehicle. The camera captures an image of a portion of the vehicle in front of a calibration screen. A processor includes logic that applies a blurring filter to the captured image to create a blurred image, determines a freeform boundary of a field of view of the camera in the blurred image, creates a field of view mask based on the freeform boundary; and applies the field of view mask to the camera for maximizing the field of view of the camera during operation of the vehicle.

Provided is an apparatus and method for displaying side and rear images of a vehicle. The apparatus includes a network connection line connected to a communication network of a vehicle, and an Audio Video Navigation (AVN) connection line connected to the AVN. Here, as a certain event signal is broadcasted through the communication network of a vehicle, any one of one or more cameras is switched so as to be connected to the AVN, and a reverse gear signal is transmitted along a line directly connected to the AVN. The reverse gear signal is the same signal as a signal that is broadcasted through the communication network as a transmission becomes a reverse state.