An image processing method is operable in an image acquisition system comprising a camera arranged to capture successive images with a field of view, FOV of a portion of an environment surrounding a vehicle, the FOV intersecting a window of the vehicle comprising one or more heater elements that are visible within the FOV of the camera. The method comprises: obtaining an image; determining whether one or more sequences of pixels within the image corresponds to an image of a respective heater element, each pixel within the or each sequence of pixels having a colour and an intensity within respective thresholds; correcting, within the image, the or each sequence of pixels corresponding to a respective heater element by replacing pixel values for the or each sequence of pixels with pixel values derived from pixels which do not correspond with a heater element; and displaying the corrected image.

A construction machine for building or finishing a road, such as a road finisher, comprises at least a working equipment, a display unit and a plurality of sensors. Each sensor is adapted to measure a value of an operating parameter of the construction machine. The sensors are adapted to output data corresponding to the measured values to the display unit, and the display unit is adapted to output a representation of at least a part of the construction machine together with the measured values of the operating parameters.

A vehicular vision system includes a camera disposed at an in-cabin side of a windshield of a vehicle. Responsive at least in part to processing of captured image data, the system determines a camera-derived path of travel of the vehicle along a road. Responsive at least in part to a geographic location of the vehicle, the system determines a geographic-derived path of travel of the vehicle along the road. Control of the vehicle along the road is based on diminished reliance on the determined geographic-derived path of travel when a geographic location reliability level of the determined geographic-derived path of travel is below a threshold geographic location reliability level. Control of the vehicle along the road is based on diminished reliance on the determined camera-derived path of travel of the vehicle when a camera reliability level of the determined camera-derived path of travel is below a threshold camera reliability level.

Camera control systems and methods for providing a dynamic view of the environment outside of a vehicle are presented. One or more cameras are configured to capture at least one view of the environment outside of the vehicle. Control circuitry detects at least one of the speed of the vehicle and the pitch angle of the vehicle (e.g., by using a speedometer and inclinometer). The control circuitry selects a view angle based on the at least one of the speed of the vehicle and the pitch angle of the vehicle. The control circuitry then displays, based on an output of the at least one camera, a view of the environment outside of the vehicle from the selected view angle on a display of the vehicle.

Images are obtained using cameras mounted on a vehicle, and at least a portion of the obtained images are displayed on a screen. Motion of the vehicle can be controlled such that it moves toward a physical destination selected from images obtained using cameras mounted on a vehicle.

A user interface apparatus for a vehicle includes: an interface unit; a display unit configured to project an augmented reality (AR) graphic object onto a screen; at least one processor; and a computer-readable medium coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations including: acquiring, through the interface unit, front view image information and vehicle motion information; based on the front view image information, generating the AR graphic object; and based on the vehicle motion information, warping the AR graphic object.

A head-up display (HUD) including a direction-information generator, a shift device, and a display system. The direction-information generator generates direction information to be superimposed on a road surface ahead of a vehicle on which the HUD is mounted. The direction information represents a direction of travel to be followed by the vehicle. The shift device shifts at least some of the direction-change information into the display area when the direction information includes direction-change information to represent a change in the direction of travel and the direction-change information falls outside a display area. The display system displays the direction information within the display area as a virtual image.

Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.

Various embodiments include a method for providing an image using a camera monitor system for a motor vehicle with a trailer, wherein the camera monitor system has a rear camera assigned to a rear side of the trailer, a side camera assigned to a longitudinal side of the motor vehicle, and a monitor for presenting images of the cameras. The method may include: capturing a first image with the rear camera; capturing a second image with the side camera; constructing a composite image comprising the first image and the second image based at least in part on an ascertained trajectory of the motor vehicle; and displaying the composite image on the monitor.

The image processing device acquires feature quantities (maximum value, minimum value, average value, histogram, etc.) of the entire area (GA) of the image and feature quantities of each local area (LA) of the image from the input image, and calculates a plurality of modulation gain values (gamma correction curves) for GA and each LA. Furthermore, the image processing device determines the correction intensity for each LA from the feature quantity of the GA and the feature quantity of each LA, and creates the LA correction intensity map. Finally, the image processing device finally applies the result of combining a plurality of modulation gain values based on the LA correction intensity map to the input image.