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.

A system and method for collision warning. The method includes calculating a dynamic trajectory of a vehicle, the vehicle including at least one camera for capturing visual multimedia content, wherein the dynamic trajectory indicates a projected movement path of the vehicle, wherein the dynamic trajectory is calculated based on a respective stopping distance and a radius of movement determined for the vehicle; generating an overlay based on the at least one dynamic trajectory, wherein the overlay indicates at least one risk, wherein each of the at least one risk is located within the at least one dynamic trajectory; and applying the overlay to the visual multimedia content.

An image processing apparatus includes: a distance histogram information generating means configured to generate distance histogram information representing a frequency distribution of distance values in each of a plurality of row regions obtained by division of a captured image in an up-down direction; and a movement surface information processing means configured to: extract a group of distance values matching a feature represented by distance values of the movement surface for each of a plurality of segments obtained by segmentation of the distance histogram information according to the distance values; execute, for a segment where a group of distance values extracted does not satisfy a predetermined error condition, processing of generating information on the movement surface using the group of distance values; and execute, for a segment where a group of distance values extracted satisfies the predetermined error condition, predetermined error processing without using the group of distance values.

An apparatus includes an interface and a processor. The interface may be configured to communicate video data to a display. The processor may be configured to receive video frames from a capture device, generate video data for the display in response to the video frames, perform operations to detect an object in the video frames and determine eye position information. The eye position information may be used to determine whether a driver is looking at the display. The processor may be configured to adjust content presented by the display when the driver is looking at the display.

A display apparatus of the present disclosure determines whether or not a route section is a linear section on the basis of positional relationship among nodes within the route section including three or more nodes, and, for a route section which is determined to be a linear section, forms and displays a line connecting a start node with a terminal node of the route section as an AR route.

A display system of the present disclosure forms an AR route by shifting node information included in road map data to a lane on which a subject vehicle is to travel on the basis of lane information. Thus, it is possible to display the AR route which matches a shape of a route on which the subject vehicle is to travel without providing a feeling of strangeness while resolving inconvenience that the AR route is largely displaced from the route on which the subject vehicle is to travel at positions such as an intersection and a branch point, where a plurality of roads intersect.

An image stitching processing method includes: obtaining a first image taken by a first camera module, wherein the first camera module has a first distance from a reference plane; obtaining a second image taken by a second camera module, wherein the second camera module has a second distance from the reference plane; scaling the second image according to a predetermined ratio and stitching the scaled second image with the first image to obtain a third image, wherein the third image has a stitching line between the first image and the scaled second image; determining whether an object image corresponding to an object in the third image is close to or located on the stitching line; identifying the object image to generate an identification confidence value; covering a standard object image on the object image to generate a modified third image; and outputting and displaying the modified third image.

An image processing apparatus and an image processing method for processing far-infrared ray images are provided. Specific temperature ranges constituted by pixels having values falling within a temperature range characteristic of a specific target are extracted from a far-infrared ray image captured of the same target. Of the specific temperature ranges, those having motion vectors close to each other are integrated so as to generate integrated ranges. The integrated ranges having motion vectors close to a global motion vector indicative of the motion of the image as a whole are excluded to obtain excluded integrated ranges. Visible light ranges corresponding to the specific temperature ranges in the excluded integrated ranges are extracted from the visible light image to generate visible light motion ranges. The positions of the visible light motion ranges are corrected on the basis of the motion vector of the excluded integrated ranges as a whole.

A car lens offset detection method and a car lens offset detection system are provided. The first image capturing device and the second image capturing device are disposed on a car, and the method includes: capturing a first image with use of a first image capturing device and capturing a second image with use of a second image capturing device; obtaining a plurality of first feature points from the first image according to a plurality of first predetermined positions and obtaining a plurality of second feature points from the second image according to a plurality of second predetermined positions; comparing feature values of the first feature points with feature values of the second feature points and determining whether the first feature points match the second feature points; in response to the first feature points not matching the second feature points, performing a calibration and warning operation.

A vehicle including a vehicle body having a plurality of cameras and at least one ego part connection, an ego part connected to the vehicle body via the ego part connection, a position detection system communicatively coupled to the plurality of cameras and configured to receive a video feed from the plurality of cameras, the position detection system being configured to identify an ego part at least partially imaged in the video feed and configured to determine a closest angular position of the ego part relative to the vehicle using a neural network, and wherein the neural network is configured to determine a probability of the actual angular position being closest to each angular position in a set of predefined angular positions, and determine that the closest angular position of the ego part relative to the vehicle is the predefined angular position having the highest probability.