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.

A method for calibrating a pitch of a camera on a vehicle is provided. The method includes steps of: a calibration device (a) inputting driving images from the camera into an object detection network to detect objects and generate object detection information and into a lane detection network to detect lanes and generate lane detection information; (b) profiling the object and the lane detection information to generate object profiling information and lane profiling information, inputting the object profiling information into an object-based pitch estimation module to select a first target object and a second target object to generate a first pitch and a second pitch, and (iii) inputting vanishing point detection information and the lane profiling information into a lane-based pitch estimation module to generate a third pitch and a fourth pitch; and (c) inputting the first to the fourth pitches into a pitch-deciding module to generate a decided pitch.

Embodiments describe a method for positioning a hinged vehicle including a primary part and a secondary part coupled to the primary part at a project site. The method includes receiving, from an image capturing device, digital image data representing one or more features of the secondary part; performing image analysis on the digital image data to identify positions of the one or more features of the secondary part; identifying an angle of at least a portion of the secondary part; calculating a current position of the secondary part based on the angle; calculating a positional difference between a correct position at the project site for the secondary part and a current position of the secondary part at the project site; and initiating a change in a position of the primary part to compensate for the positional difference and to position the secondary part on the correct position.

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 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.

An illuminated sensor target includes a light source. Actuating the light source illuminates the sensor target. The illuminated sensor target is recognized by one or more sensors of a vehicle during a calibration process, and is used to calibrate the one or more sensors of the vehicle during the calibration process. The illuminated sensor target is illuminated during at least part of the calibration process, which may involve rotation of the vehicle about a turntable, with the illuminated sensor target positioned within a range of the turntable along with other sensors targets, which may also be illuminated.

Method for verifying indirect view system provides image capture unit (10) with image sensor (20), image processing unit (30), reproduction unit (40) and reference transducer (50) at a position at the vehicle (60), such that the reference transducer (50) lies in a recording portion of the image capture unit (10) and is depicted on the image sensor (20). The reference transducer (50) is defined at a reference transducer target position (51) on the image sensor (20). Image data of at least one recording portion (11) around the vehicle (60) are captured on sensor (20) and reproduced on unit (40). Then, a reference transducer current position (52) of the transducer (50) is determined on the image sensor (20) and the reference transducer current position (52) is compared with the reference transducer target position (51) to that extent whether reference transducer current position (52) is equal reference transducer target positon (51).

A method of calibrating a multi-camera vision system includes moving a vehicle along a vehicle assembly line having targets at respective side regions, with each target including a longitudinal line and a plurality of tick marks that extend laterally from the longitudinal line. As the vehicle moves along the vehicle assembly line it is equipped with a plurality of cameras and an image processor. As the vehicle moves along the vehicle assembly line, the target at a respective side region of the vehicle assembly line is present within the fields of view of front, side and rear cameras. Image data is captured by the cameras and processed to detect the targets and to determine misalignment of at least one of the cameras. The vehicular multi-camera vision system is calibrated by adjusting processing by the image processor of image data captured by the at least one misaligned camera.

A method for dynamically calibrating a vehicular camera includes disposing a camera at a vehicle and operating the camera to capture multiple frames of image data while the vehicle is in motion and is steered within at least two ranges of steering angles. Feature points are determined in an image frame when the vehicle is steered within a respective range of steering angles, and motion trajectories of those feature points are tracked in subsequent image frames for the respective range of steering angles. A horizon line is determined based on the tracked feature points. 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 is for installing a geometric reference marker on a substantially flat horizontal ground for calibration of electrical and/or electronic components of a motor vehicle. The installation method includes positioning the vehicle on the ground with wheels of the vehicle parallel to a longitudinal axis of the vehicle and positioning geometric referencing equipment on the ground around the vehicle. The referencing equipment includes a set of distinct elongate plates forming rulers. Each ruler has a planar bottom face resting at least partially on the ground and being sufficiently rigid not to be deformed in a plane of the bottom face. The positioning is performed by placing the rulers of the adjustment equipment on the ground according to a predetermined pattern, at a predetermined distance from the vehicle.