Disclosed is a vehicular around view image providing apparatus including a first camera configured to generate a first image, a second camera configured to generate a second image, and a processor configured to generate an around view image by matching a plurality of images including the first image and the second image, to compare a first feature of a first object detected based on the first image with a second feature of the first object detected based on the second image, and to perform calibration on at least one of the first image, the second image, or the around view image.

Embodiments of the present disclosure provide a method and an apparatus for camera calibration processing, a device for vehicle control and a storage medium. In the method according to the embodiments of the present disclosure, at least one pair of images collected by a camera and a vehicle position at a collection time of each of the images are acquired during a process of a vehicle travelling along a straight line, where each pair of images includes images taken by the camera at two different positions, and two images in each pair of images include a common static feature point. A current installation angle of the camera is calculated according to the at least one pair of images and the vehicle position at the collection time of each of the images.

A system and method for calibrating a forward-facing camera or sensor of a vehicle is provided. The system includes a calibration tool, the position of which can be adjusted on the vehicle to align a presentation screen of the calibration tool with the vehicle camera. A processor performs a method to determine the size and position of a calibration target to be displayed on the presentation screen, based on a position of the calibration tool relative to the vehicle camera and generates a calibration target image to be digitally transmitted to the presentation screen. The presentation screen displays the calibration target image at an appropriate height, angle, and distance from the camera or sensor being calibrated.

A vehicular vision system includes a camera disposed at a vehicle and operable to capture multiple frames of image data during a driving maneuver of the vehicle. A control includes an image processor that processes frames of captured image data to determine feature points in an image frame when the vehicle is operated within a first range of steering angles, and to determine motion trajectories of those feature points in subsequent image frames for the respective range of steering angles. The control determines a horizon line based on the determined motion trajectories. Responsive to determination that the determined horizon line is non-parallel to the horizontal axis of the image plane, at least one of pitch, roll or yaw of the camera is adjusted. Image data captured by the camera is processed at the control for object detection.

A method of correcting misalignment of a vehicular camera includes disposing a camera at a vehicle at a vehicle assembly plant and calibrating the camera at the vehicle while the vehicle is at the vehicle assembly plant. Frames of image data are captured with the camera as the vehicle is driven along an arbitrary path along a road, and the captured frames of image data are processed by a processor. As the vehicle is driven along the arbitrary path, at least one feature present in the frames of captured image data is determined and tracked to determine misalignment of the camera. The determined camera misalignment is corrected (i) without use of a target in the field of view of the camera and (ii) without processing of frames of image data captured by the camera that are representative of a target in the field of view of the camera.

An imager assembly including calibration functionality and a housing. An imager is disposed inside the housing. The imager includes a lens assembly. An electro-optic element is disposed on a wall of the housing and operable between a substantially clear condition and a substantially darkened condition. A light source directs light at the electro-optic element which redirects the light toward the lens assembly.

A method for determining a safe state for a vehicle includes disposing a camera at a vehicle and disposing an electronic control unit (ECU) at the vehicle. Image data is captured via the camera and provided to the ECU. An image processor of the ECU processes captured image data. A condition is determined via processing at the image processor of the ECU captured image data. The condition comprises a shadow present in the field of view of the camera within ten frames of captured image data or a damaged condition of the imager within two minutes of operation of the camera. The condition is indicative of a condition where processing of captured image data degrades in performance. The ECU determines a safe state for the vehicle responsive to determining the condition.

Systems and methods for a self-adjusting vehicle mirror. The mirror automatically locates the face of the driver or another passenger, and orients the mirror to provide the driver/passenger face with a desired view from the mirror. The mirror may continue to reorient itself as the driver or passenger shifts position, to continuously provide a desired field of view even as he or she changes position over time. In certain embodiments, the mirror system of the disclosure can be a self-contained system, with the mirror, mirror actuator, camera, and computing device all contained within the mirror housing as a single integrated unit.

A method for calibrating image data of an imaging system for a vehicle combination, including a first part of the tractor trailer, which encompasses the imaging system, and a second part which encompasses a calibration object, the second part being mechanically coupled to the first part so as to be movable about at least one axis. The imaging system is configured to at least partially representing the second part. The method includes: providing at least one image of the imaging system, which represents the calibration object; identifying the calibration object within the image; identifying a characteristic variable of the calibration object within the image; determining a deviation of the characteristic variable from a stored characteristic setpoint variable; generating calibrated image data by transforming the image data of the imaging system, depending on the deviation of the characteristic variable from the stored characteristic setpoint variable to compensate for the deviation.

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.