In a system and method of calibrating a stereoscopic camera, a target pattern is electronically displayed on a display. The camera to be calibrated captures images of the target pattern using a stereoscopic camera while the displayed target pattern is altered over time. The captured images are analyzed and calibration parameters for the stereoscopic camera are determined.

A method and system for registering a 3D sensor with an autonomous manipulator is provided. The 3D sensor has a field of view and a sensor coordinate system. The autonomous manipulator is a vision-guided manipulator having a work envelope and a manipulator coordinate system. The method includes moving a registration target relative to the sensor in the field of view of the sensor in the work envelope to obtain a plurality of depth maps or images of the target. The depth maps or images are processed to obtain a plurality of extrinsic registration parameters between the manipulator and the sensor.

A seed camera disposed a first location is manually calibrated. A second camera, disposed at a second location, detects a physical marker based on predefined characteristics of the physical marker. The physical marker is located within an overlapping field of view between the seed camera and the second camera. The second camera is calibrated based on a combination of the physical location of the physical marker, the first location of the seed camera, the second location of the second camera, a first image of the physical marker generated with the seed camera, and a second image of the physical marker generated with the second camera.

An optical imaging system for imaging a target during a medical procedure, the optical imaging system involving a first camera for capturing a first image of the target, a second wide-field camera for capturing a second image of the target, at least one optional path folding mirror disposed in an optical path between the target and a lens of the second camera, and a processor for receiving the first image and the second image, the processor configured to apply an image transform to one of the first image and the second wide-field image and combine the transformed image with the other one of the images to produce a stereoscopic image of the target.

A processor-implemented method with sensor calibration includes: estimating a portion of a rotation parameter for a target sensor among a plurality of sensors based on a capture of a reference object; estimating another portion of the rotation parameter for the target sensor based on an intrinsic parameter of the target sensor and a focus of expansion (FOE) determined based on sensing data collected with consecutive frames by the target sensor while the electronic device rectilinearly moves based on one axis; and performing calibration by determining a first extrinsic parameter for the target sensor based on the portion and the other portion of the rotation parameter.

A method for alignment a lidar with a camera of a vehicle includes: aggregating multiple lidar scans performed by the lidar of a vehicle while the vehicle is in motion to generate an aggregated point-cloud; rendering the aggregate point-cloud onto a camera image to generate a rendered image; comparing the rendered image with the camera image to determine a difference between the rendered image and the camera image, wherein a difference value is indicative of the difference between the rendered image and the camera image is represented; and determining that the camera is aligned with the lidar in response to determining that the difference value is less than or equal to a predetermined threshold.

A reference imaging system including a planar reference piece. The reference imaging system further includes a three-axis gantry for positioning the planar reference piece at a plurality of points in a 3D coordinate system. Additionally, the reference imaging system includes a yaw actuator for adjusting the yaw angle of the object. Furthermore, the reference imaging system includes a pitch actuator for adjusting the pitch of the object. Moreover, the reference imaging system includes a computer processing unit for controlling the 3D position, pitch and yaw of the planar reference piece.

A computer implemented method for calibrating a camera comprises the following steps carried out by computer hardware components: activating a subset of a plurality of light sources according to a plurality of activation schemes, wherein each activation scheme indicates which of the plurality of light sources to activate; capturing an image for each activation scheme using the camera; and calibrating the camera based on the captured images.

A method for intelligently measuring vehicle speed based on a binocular stereo vision system includes: training a Single Shot Multibox Detector neural network to obtain a license plate recognition model; calibrating the binocular stereo vision system to acquire parameters of two cameras; detecting the license plates in the captured video frames with the license plate recognition model, locating the license plate position; performing feature point extraction and stereo matching by a feature-based matching algorithm; screening and eliminating the matching point pairs, and reserving the coordinates of the matching point pair closest to the license plate center; performing stereo measurement on the screened matching point pair to get the spatial coordinates of the position; calculating and obtaining the speed of the target vehicle. The present invention is easy to install and adjust, could simultaneously recognize multiple trained features automatically, and better suit the intelligent transportation networks and IoT (Internet of Things).

A cascading expansion method of working space and working visual angle of stereo vision system is disclosed. One stereo vision system in the multi stereo vision systems is fixed as the global vision system, and the other stereo vision systems can move the position and adjust the visual angle according to the needs during the working process, so as to effectively expand the working space and working visual angle of the stereo vision system and improve the flexibility of the stereo vision system. For the target to be measured that cannot be seen under the global stereo vision, the indirect positioning of the target to be measured under the global coordinate system can be achieved through other stereo vision systems, so as to overcome the limitation of the limited visual angle of a single stereo vision system and the limited workspace.