Embodiments described herein include a method of receiving, by a moving assisting vehicle, a calibration assistance request related to a moving ego vehicle that requested assistance in collaborative calibration of a sensor deployed on the moving ego vehicle. The method further includes analyzing the calibration assistance request to extract at least one of a schedule or an assistance route associated with the requested assistance. The method includes communicating with the moving ego vehicle about a desired location relative to the position of the moving ego vehicle for the moving assisting vehicle to be in order to assist the sensor to acquire information of a target present on the moving assisting vehicle. The method includes facilitating to drive the moving assisting vehicle to reach the desired location to achieve the collaborative calibration of the sensor on the moving ego vehicle.

An example computing device includes: a three-dimensional (3D) sensor configured to capture point cloud data from a field of view; an auxiliary sensor configured to capture a reference depth measurement corresponding to a surface within the field of view; a processor interconnected with the 3D sensor and the auxiliary sensor, the processor configured to: control the 3D sensor and the auxiliary sensor to capture the point cloud data and the reference depth measurement; select a region of the point could data including a position of the reference depth measurement; determine a representative depth value of the region of the point cloud data to compare to the reference depth measurement; determine whether the representative depth value is within a similarity threshold to the reference depth measurement; and determine, based on whether the representative depth value is within the similarity threshold to the reference depth measurement, whether to use the point cloud data for a dimensioning operation.

A method for aligning and merging contents from multiple collaborative workstations. Collaborative workstations are multiple workstations that contribute respective contents to be combined into a single computer-generated output. The content generated from each collaborative workstation is the collaborative content. Individual collaborative content is created from each workstation by a user drawing on a piece of paper that is placed on a workspace surface of the workstation. Collaborative contents contributed by multiple workstations are aligned such that a combined product (i.e., a single computer-generated output) including both virtual and physical content appears to be collaboratively drawn by multiple users on a single piece of paper.

An example apparatus includes: a camera to record an image; memory to store instructions; and a processor in circuit with the memory, the processor to execute the instructions to: determine a depth based on: (a) the image and (b) a calibration parameter of the camera; and adjust the calibration parameter based on a temperature of the camera and the depth.

Technology is described to adjust for eye location variations of a user when using an augmented reality (AR) headset. The method can include registering a position and size of an optical code using a visual camera and the AR headset. An alignment marker may be projected through the AR headset to be aligned with the optical code for a right eye and left eye of a user of the AR headset. Right eye and left eye adjustments to the alignment marker may be received independently to align the alignment marker with a portion of the optical code as viewed by either the right eye or left eye of the user. The left eye adjustments and right eye adjustments may be applied to virtual images displayed through the AR headset in order to improve the accuracy of alignment between objects in the physical view and the virtual images displayed using the AR headset.

Provided is a ranging sensor calibration system that can execute a calibration operation during travel at low cost and without adding a special configuration. This ranging sensor calibration system is provided with a plurality of ranging sensors that are installed facing at least a first direction along a direction of travel of a vehicle and a second direction that is an opposite direction to the first direction, and are configured to be able to measure a distance; and a calibration processing unit that configures the plurality of ranging sensors. The calibration processing unit is configured to calibrate the plurality of ranging sensors on the basis of a distance between a plurality of calibration targets disposed near a travel path for the vehicle, a distance between the plurality of ranging sensors, and a distance measured by each of the plurality of ranging sensors.

An image signal processor includes a statistic data generating unit for receiving an image signal from an external device, an image processing unit for receiving the image signal, and a direct memory access (DMA) module connected to the statistic data generating unit and the image processing unit. The statistic data generating unit performs first image pre-processing on the image signal and generates first statistic data based on the image signal subjected to the first image pre-processing. The DMA module stores the first statistic data therein and provides the stored first statistic data to the image processing unit. The image processing unit performs second image pre-processing on the image signal and performs image processing on the image signal based on the first statistic data.

A device may provide, to a camera and a projector of a portable projection mapping device, first instructions for calibrating the camera and the projector, and may receive, based on the first instructions, calibration parameters for the camera and the projector. The device may calculate a stereo calibration between the camera and the projector based on the calibration parameters, and may provide, to the camera, second instructions for recognizing a reference instrument associated with the portable projection mapping device. The device may receive, based on the second instructions, binocular images, and may determine additional parameters based on the binocular images. The device may determine recognition parameters for recognizing the reference instrument, based on the binocular images and the additional parameters. The device may process the recognition parameters and the stereo calibration, with an optical tracking model, to generate and provide overlay visualization data to the portable projection mapping device.

An improved camera external parameter calibration method of a vehicle panoramic system, comprising: acquiring calibration images of a checkerboard by means of cameras; for each acquired calibration image, obtaining pixel coordinates of corner points in the image; obtaining first coordinates of each corner point in a vehicle coordinate system on the basis of relevant parameters of the panoramic camera; for a group of adjacent corner points among the corner points, determining a first and second deviation according to the first coordinates of each corner point in the group; for each corner point in the adjacent points of the group, calculating the distance difference of the corner point on the basis of the first coordinates obtained by two cameras; and performing optimization calculation on the external parameters on the basis of the first deviation, the second deviation and the distance difference so as to obtain the external parameters of the cameras.

A stereo camera calibration method includes: controlling a stereo camera assembly to capture a sequence of stereo image pairs; simultaneously with each capture in the sequence, activating a rangefinder; responsive to each capture in the sequence, updating calibration data for point cloud generation by: detecting matching features in the stereo image pair, and updating a first portion of the calibration data based on the matched features; updating an alignment of the rangefinder relative to the stereo camera assembly, based on the updated first portion of the calibration data, and a detected position of a beam of the rangefinder in a first image of the stereo image pair; and updating a second portion of the calibration data based on the detected position of the beam of the rangefinder in the first image of the stereo image pair, the updated rangefinder alignment, and a depth measurement captured by the rangefinder.