The present technology relates to an image-capturing apparatus, a control method, and a program that make it possible to easily provide an image suitable for the operation of a vehicle.

The controller controls reading of an image from an image sensor that captures the image, on the basis of vehicle information acquired by a vehicle, the image being displayed on a display section of the vehicle. For example, the present technology is applicable to a viewing system that displays an image of a region behind a vehicle.

A system includes a processor and a display. A plurality of cameras capture surroundings images of a work machine. The processor acquires image data indicative of the surroundings images. The processor synthesizes the surroundings images and generates a panorama moving image from viewpoints that move around the work machine. The display displays, based on a signal from the processor, the panorama moving image from the viewpoints that move around the work machine. The system may include the cameras and the work machine.

A vehicular camera calibration system includes a camera disposed at a vehicle, and an electronic control unit (ECU). The camera calibration system utilizes an intrinsic parameter of the camera and uses a kinematic model of motion of the vehicle that is determined at least in part via processing of multiple frames of captured image data. The camera calibration system, responsive to processing of multiple frames of image data captured by the camera as the vehicle moves along a path of travel, and based at least in part on (i) an intrinsic parameter of the camera and (ii) the kinematic model of motion of the vehicle, determines misalignment of the camera. The camera calibration system determines camera misalignment without use of a fiducial marker in the field of view of the camera as the vehicle moves along the path of travel and without use of reference points on the vehicle.

To simulate a 3D image of a terrain, including a vehicle having a geocoding detector to identify coordinate reference data, the vehicle to traverse the terrain, a memory device for storing an instruction, and a capture module in communication with the processor and connected to the vehicle, the capture module having a 2D RGB digital camera to capture a series of 2D digital images of the terrain and a digital elevation capture device to capture a series of digital elevation scans to generate a digital elevation model of the terrain, with the coordinate reference data, overlay the series of 2D digital images of the terrain thereon the digital elevation model of the terrain while maintaining the coordinate reference data, a key subject point is identified in the series of 2D digital images, and a display configured to display a multidimensional digital image/sequence.

A camera calibration method includes obtaining a plurality of images of surroundings of a vehicle captured by a plurality of cameras, setting a region of interest (ROI) in each of the images, detecting one or more feature points of the set ROIs, matching a first feature point of a first ROI and a second feature point of a second ROI based on the detected feature points, calculating a first bird-view coordinate of the first feature point and a second bird-view coordinate of the second feature point, and calibrating the cameras by adjusting an extrinsic parameter of each of the cameras based on an error between the first bird-view coordinate and the second bird-view coordinate.

The invention provides an autonomous vehicle with a video camera that merges images taken a different light levels by replacing saturated parts of an image with corresponding parts of a lower-light image to stream a video with a dynamic range that extends to include very low-light and very intensely lit parts of a scene. The high dynamic range (HDR) camera streams the HDR video to a HDR system in real time—as the vehicle operates. As pixel values are provided by the camera's image sensors, those values are streamed directly through a pipeline processing operation and on to the HDR system without any requirement to wait and collect entire images, or frames, before using the video information.

When a theme park that is a facility configured based on a specific theme is set as a departure point, an AR display device transmits information of the theme park of the departure point to a server. The server includes a theme park-specific character storage unit and a transmission unit. The theme park-specific character storage unit stores information on a character set for the theme park of the departure point. The transmission unit transmits, to the AR display device, image data of the character set for the theme park of the departure point, with the character being set as a virtual object of the departure point.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

An image processing device includes an input interface and at least one processor. The input interface is configured to acquire an image obtained by image-capturing a surrounding region of a mobile body. The computation unit is configured to process the image obtained by image-capturing the surrounding region. The computation unit is configured to execute first processing of detecting, from the image, a region in which the mobile body is movable, and second processing of calculating an adjustment parameter for adjusting the image on the basis of the region in which the mobile body is movable.

A system for estimating an articulation angle between a first and a second connected vehicle section of an articulated vehicle combination, the system comprising a primary image obtaining device configured to be mounted on a first position of one of the vehicle sections and to obtain images of the other vehicle section during use; a secondary image obtaining device configured to be mounted on a second position of one of the vehicle sections and to obtain images of the other vehicle section during use, the second position being different from the first position, and/or a mounting orientation at the second position of the second image obtaining device being different from a mounting orientation at the first position of the primary image obtaining device.