A method of installing a camera unit including an imaging device and an optical system that forms an optical image on a light receiving surface of the imaging device, wherein the light receiving surface includes a first area and a second area on a peripheral side of the first area, wherein an increase in an image height with respect to a unit half angle of view in the first area is larger than an increase in an image height with respect to a unit half angle of view in the second area, wherein the optical system and the imaging device are disposed such that the gravity center of the first area deviates in a first direction from the center of the light receiving surface, and wherein the method includes installing the camera unit such that the first direction is directed to an area other than a predetermined targeted area.

A data acquisition system of a vehicle includes an image capture device, a communication interface, and a controller communicatively coupled to the image capture device and communicatively coupled to the communication interface. Processors of the controller are configured to calibrate an image-distance relationship value of an identified component of a first image captured by the image capture device corresponding to a known feature based on established metrics of the known feature. The processors are also configured to provide control of the vehicle or activation of an alert system of the vehicle via the communication interface based on the image-distance relationship value.

A camera calibration tool for calibrating one or more cameras of a mobile machine comprising calibration targets and a net. Each of the calibration targets comprises identifiable indicia. The net is adapted to be coupled to the mobile machine. The net has one or more configurations that define predetermined target locations, with location markers, in a predetermined layout. The calibration targets are positioned respectively at the predetermined target locations in the predetermined layout to calibrate the one or more cameras by use of the calibration targets.

A camera system and method are disclosed. The camera includes a memory, a camera, and a processor. The memory stores an adaptively subsampled look-up table. The adaptively subsampled look-up includes varying levels of subsampling across the adaptively subsampled look-up table. The camera captures an image, and the captured image is distorted based on varying distortions within an optical system of the camera. The processor receives the captured image from the camera, corrects the distorted captured image based on the adaptively subsampled look-up table to create a correct image, provides the corrected image, and executes a safety feature based on the corrected image.

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.

High precision calibration of external parameters is possible even when the surrounding road surface is configured from a plurality of flat surfaces. Specifically, provided is a calibration device comprising a camera to be mounted on a vehicle traveling on a road surface; a characteristic point extraction unit which extracts characteristic points from a captured image obtained by being captured with the camera; a tracking unit which tracks the characteristic points extracted with the characteristic point extraction unit; a storage unit which stores a trajectory of the characteristic points obtained by tracking the characteristic points; a road surface estimation unit which estimates a flat surface on which the vehicle is traveling by using the trajectory of the characteristic points; a calculation unit which calculates a calibration trajectory, which is a trajectory of the characteristic points, for use in calibration based on the estimated flat surface; and an external parameter estimation unit which executes calibration of an external parameter of the camera by using the calibration trajectory.

An autonomous or semi-autonomous vehicle camera system including a camera having a field of view, wherein the camera is operable to receive optical information in the field of view. A display located in the camera field of view. A controller in electrical connection with the camera, wherein the controller is operable to conduct a Built-in-Test. Wherein the Built-in-Test is configured to present one or more images in the camera field of view via the display to determine functionality of the camera system.

A digital side mirror system comprises imaging devices disposed on both sides of a vehicle, a display device including a screen for outputting images captured by the imaging device, and a control device. The control device receives a pattern board image, generates calibration information that includes at least one of a distance between a reference line and a center of the pattern board image or an angle of the pattern board image with respect to the reference line, and transmits a calibration image that includes the calibration information therein to the display device.

A vehicular vision system includes a rearward-viewing camera and a forward-viewing camera disposed at a vehicle. Image data captured by the cameras is provided to the electronic control unit. The electronic control unit sends respective control data to the cameras, and the respective sent control data is stored in respective memory of the cameras. With the respective sent control data stored in the respective memory of the cameras, the electronic control unit sends a trigger signal to the cameras. Responsive to the sent trigger signal, the cameras load operational parameters of the respective stored control data into respective image sensors of the cameras so that the operational parameters of the respective image sensors of the cameras are synchronized. With the operational parameters of the respective image sensors of the cameras synchronized, image data is captured by the respective image sensors and is sent to the electronic control unit.

A method of calibrating a vehicular vision system includes mounting a camera at a vehicle moving along a vehicle assembly line. Responsive to processing of image data captured by the camera, ground features adjacent to the vehicle are determined and the determined ground features are tracked over two or more frames of captured image data using optical flow. A misalignment of the camera is determined via tracking the determined ground features as the vehicle moves along the straight path portion of the end of line test portion of the vehicle assembly line. Responsive to determination of misalignment of the camera at the vehicle, the vehicular vision system is calibrated using an assumption that the determined ground features lie in a plane parallel to a planar portion of a ground surface adjacent the straight path portion of the end of line test portion of the vehicle assembly line.