A motor vehicle, having a plurality of image recording devices arranged across the entire vehicle for recording images of the vehicle environment, includes a control device for generating an image representation showing the 360° environment around the motor vehicle on the basis of the images. The motor vehicle further includes a display device for displaying the image representation. The control device is designed to generate an additional partial image representation showing the area below the motor vehicle on the basis of images recorded, and to integrate the partial image representation into the displayed image representation for outputting an overall image representation. At least one sensor device is provided which detects the area below the motor vehicle and communicates with the control device. The overall image representation can be modifiable at least in the area of the partial image representation on the basis of the sensor information.

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 system for creating a 3D volumetric scene includes a first visual sensor positioned onboard a first vehicle to obtain first visual images, first motion sensors positioned onboard the first vehicle to obtain first motion data, a first computer processor positioned onboard the first vehicle and adapted to generate a first scene point cloud, a second visual sensor positioned onboard a second vehicle to obtain second visual images, second motion sensors positioned onboard the second vehicle to obtain second motion data, and a second computer processor positioned onboard the second vehicle and adapted to generate a second scene point cloud, the first and second computer processors further adapted to send the first and second scene point clouds to a third computer processor, and the third computer processor located within an edge/cloud infrastructure and adapted to create a stitched point cloud.

Presented are intelligent vehicle systems with networked on-body vehicle cameras with camera-view augmentation capabilities, methods for making/using such systems, and vehicles equipped with such systems. A method for operating a motor vehicle includes a system controller receiving, from a network of vehicle-mounted cameras, camera image data containing a target object from a perspective of one or more cameras. The controller analyzes the camera image to identify characteristics of the target object and classify these characteristics to a corresponding model collection set associated with the type of target object. The controller then identifies a 3D object model assigned to the model collection set associated with the target object type. A new “virtual” image is generated by replacing the target object with the 3D object model positioned in a new orientation. The controller commands a resident vehicle system to execute a control operation using the new image.

A method of controlling a mobile work machine on a worksite including receiving an indication of an object detected on the worksite, determining a location of the object relative to the mobile work machine, receiving an image of the worksite, correlating the determined location of the object to a portion of the image, and generating a control signal that controls a display device to display a representation of the image with a visual object indicator that represents the detected object on the portion of the image.

A vehicular display system includes: a first lamp that emits near-infrared light; a second lamp that emits visible light; a first camera that captures a first image of an outside of a vehicle irradiated by the first lamp; a second camera that includes an imaging range of the first camera and captures a second image of the outside of the vehicle irradiated by the second lamp; a control unit that generates a third image in which a luminance of pixels of the first image corresponding to pixels of the second image is reduced, based on a luminance of the second image; and a head-up display that displays the third image generated by the control unit.

This image generation device is provided with: an image acquisition unit that acquires a rear-side image of the rear side of a vehicle; and an image generation unit. When the rear-side image includes an overlapped portion where an image region, in which an auxiliary line for assisting in the backward driving of the vehicle is overlaid, overlaps an image region in which a specific target is positioned, the image generation unit generates, in at least the overlapped portion, an image in which the auxiliary line is not overlaid or is overlaid in a semi-transparent state; and when the rear-side image does not include the overlapped portion, the image generation unit generates an image in which the auxiliary line is overlaid on the rear-side image.

An image processing apparatus includes a first signal processing unit for generating a first image of a first angle of view from an image captured by a camera attached to a vehicle body, and an image superimposing unit for superimposing an image representing a part of the vehicle body on the first image.

An image processing method for harmonizing images acquired by a first camera and a second camera connected to a vehicle and arranged in such a way as their fields of view cover a same road space at different times as the vehicle travels along a travel direction is disclosed. The method includes: acquiring by a selected camera, a first image at a first time; selecting a first region of interest bounding a road portion from the first image; sampling the first region of interest; acquiring by the other camera, a second image in such a way that the road portion is included in a second region of interest; sampling the second region of interest; and determining one or more correction parameters for harmonizing images acquired by the first and second cameras, based on a comparison between the image content of the first and second regions of interest.

A method for operating a vehicle crane having a lower chassis with boom supports and having an upper chassis with a counterweight in which a live view of the surroundings of the vehicle crane is displayed to the driver. To provide a possibility of operating the vehicle crane that permits safe and simplified manuvering and use, the live view is created at least by way of cameras arranged on the lower chassis, markings indicating the movement ranges of the boom supports and the pivot range of the upper chassis are superimposed to scale on the live view, where the markings are hard-programmed crane-specific overlays and the live view is a crane-specific view that is calibrated with regard to dimensions.