A method for calibrating a vehicular camera of a vehicular vision system includes placing a target with a first portion having a first geometric pattern and a second portion having a second geometric pattern within the field of view of the vehicular camera, and capturing image data with the camera representative of the field of view of the vehicular camera. Two edges of both portions of the target are detected, and edge pixels of the detected edges are determined. First and second vanishing points of the target in the captured image data are determined based on the determined edge pixels of the respective first and second portions of the target. Camera orientation is determined based on location of the determined first vanishing point relative to location of the determined second vanishing point. The vehicular camera is calibrated based on the determined camera orientation.

A vehicle periphery monitoring device includes a plurality of sensors including a rear camera, a rear right-side camera, and a rear left-side camera, a display unit that is provided inside a vehicle cabin, memory, and a processor that is coupled to the memory. The processor is configured so as to acquire a rear image that includes a first image of a vehicle rear side acquired by the rear camera, a second image of a vehicle rear right-side acquired by the rear right-side camera, and a third image of a vehicle rear left-side acquired by the rear left-side camera, acquire from the plurality of sensors relative positions of a target that is present in areas including the vehicle rear side, the vehicle rear right-side, and the vehicle rear left-side relative to a host vehicle, determine whether or not the acquired relative positions of the target are mutually consistent with each other in the plurality of sensors, display a single composite image that is created by combining the first image, the second image, and the third image at the display unit in a case in which it is determined that the relative positions of the target are mutually consistent with each other, and display the first image, the second image, and the third image individually and adjacently to each other on the display unit in a case in which it is determined that the relative positions of the target are not mutually consistent with each other.

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.

The present disclosure is directed to a system for calibrating cameras with a fixed focal point. In particular, a camera calibration system comprising one or more computing devices can project a plurality of fiducial markers on a target surface using the plurality of collimators. The camera calibration system can capture, using the camera, a plurality of images of the target surface with the camera, wherein the camera is rotated between each captured image in the plurality of images. The camera calibration system can compare the plurality of images with a ground truth projection. The camera calibration system can generate calibration data based on the comparison of the plurality of images with the ground truth projection. The camera calibration system can store the calibration data for use in rectifying the camera.

The present disclosure provides a vehicle positioning device for vehicle vision calibration, a positioning adjustment method, and a positioning adjustment system. The vehicle positioning device includes a base, a chassis, a translation mechanism and a rotation mechanism. A to-be-calibrated vehicle is placed onto the chassis, and the chassis is provided with a stopper. The translation mechanism is arranged between the chassis and the base, and configured to drive the chassis to move in an X-axis direction in a three-dimensional coordinate system relative to the base in accordance with a translation control instruction. The rotation mechanism is arranged between the chassis and the base, and configured to drive the chassis to rotate about a Z-axis in the three-dimensional coordinate system relative to the base in accordance with a rotation control instruction.

A method includes placing a physical target on a windshield of a vehicle, mounting a fixture inside the vehicle to position a camera array on the fixture within a line of sight of a passenger, capturing images of the physical target using the camera array, and determining a difference between actual and target locations of the physical target in each image. In addition, the method includes controlling the HUD to display a virtual target on the windshield, capturing images of the virtual target using the camera array, and determining a target location of the virtual target in each image based on the difference. Further, the method includes determining an offset between an actual location of the virtual target in each image and the target location of the virtual target in each image, and adjusting the location of an image projected onto the windshield by the HUD based on the offset.

A method includes placing a physical target on a windshield of a vehicle, mounting a fixture inside the vehicle to position a camera array on the fixture within a line of sight of a passenger, capturing images of the physical target using the camera array, and determining a difference between actual and target locations of the physical target in each image. In addition, the method includes controlling the HUD to display a virtual target on the windshield, capturing images of the virtual target using the camera array, and determining a target location of the virtual target in each image based on the difference. Further, the method includes determining an offset between an actual location of the virtual target in each image and the target location of the virtual target in each image, and adjusting the location of an image projected onto the windshield by the HUD based on the offset.

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 for automatic generation of calibration parameters for a surround view (SV) camera system is provided that includes capturing a video stream from each camera comprised in the SV camera system, wherein each video stream captures two calibration charts in a field of view of the camera generating the video stream; displaying the video streams in a calibration screen on a display device coupled to the SV camera system, wherein a bounding box is overlaid on each calibration chart, detecting feature points of the calibration charts, displaying the video streams in the calibration screen with the bounding box overlaid on each calibration chart and detected features points overlaid on respective calibration charts, computing calibration parameters based on the feature points and platform dependent parameters comprising data regarding size and placement of the calibration charts, and storing the calibration parameters in the SV camera system.

A calibration device for calibrating at least one camera system of a motor vehicle includes at least one calibration element having at least one carrier element and at least one marker element, where the marker element is or can be arranged on the carrier element and at least one connecting element, where the calibration element is or can be arranged on the motor vehicle using the connecting element. A motor vehicle and methods of using the calibration device are also described.