Abstract:
Technical solutions are described for generating an augmented reality map of an environment. An example method includes obtaining, by a 2D scanner, a 2D scan set including 2D coordinates of points in the environment. The method further includes capturing and displaying, by a portable computing device, a live video stream of a field of view, the portable computing device being fixed at a relative position with respect to the 2D scanner. The method further includes displaying a selection marker overlaid on the live video stream at a location in response to a user input. The method further includes projecting a beam of visible light on an object point in the field of view, corresponding to the location on the display of the selection marker. The method further includes receiving, via the portable computing device, a selection input and in response generating and storing an annotation at the object point.
Abstract:
A method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position. A 2D scanner collects horizontal 2D scan sets as 3D measuring device moves from first to second registration positions. A processor determines first and second translation values and a first rotation value based on collected 2D scan sets. 3D scanner measures a second collection of 3D coordinates of points from second registration position. Processor adjusts second collection of points relative to first collection of points based at least in part on first and second translation values and first rotation value. Processor identifies a correspondence among registration targets in first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of first and second collection of 3D coordinates.
Abstract:
A system and method for analyzing a surface of an object is provided. The system includes a 3D measurement device operable to acquire a plurality of points on the surface of the object and determine 3D coordinates for each of the points. The system further includes processors operably coupled to the 3D measurement device. The processors are responsive to computer instructions when executed on the processors for performing a method comprising: generating a point cloud from the 3D coordinates of the plurality of points; extracting a first set of points from the plurality of points; defining a first reference geometry through the first set of points; measuring at least one first metric from each of the points in the first set of points to the first reference geometry; and identifying a nonconforming feature based at least in part on the at least one first metric.
Abstract:
A motorized mobile platform includes a robotic articulated arm and a triangulation scanner for performing three-dimensional measurements, the robotic arm and the triangulation scanner removably coupled with connectors.
Abstract:
A method and system of generating a two-dimensional map with an optical scanner is provided. The method comprises acquiring coordinate data of points in an area being scanned with a mobile optical scanner. A current 2D map from the coordinate data is generated. A copy of the current 2D map is saved on a periodic or aperiodic basis. At least one data registration error is identified in the current 2D map. The saved copy of the current 2D map from a point in time prior to the registration error is determined. A second data set of coordinate data acquired after the determined saved copy is identified. The second data set is aligned to the determined saved copy to form a new current 2D map. The new current 2D map is stored in memory.
Abstract:
A method and system for generating a three-dimensional (3D) map of an environment is provided. An example method includes receiving, by a processor system, via a 3D scanner, located at a scan position, a 3D scan of the environment. The method further includes receiving via a two-dimensional (2D) scanner accessory, a portion of a 2d map of the environment. The method further includes receiving coordinates of the scan position in the 2d map in response to the 3D scanner initiating the acquisition of the 3D scan. The method further includes associating the coordinates of the scan position with the portion of the 2D map. The method further includes determining a displacement vector for the 2D map using a loop closure algorithm. The method further includes computing a revised scan position based on the scan position and the displacement vector, where the 3D scan is registered using the revised scan position.
Abstract:
A method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position. A 2D scanner collects horizontal 2D scan sets as 3D measuring device moves from first to second registration positions. A processor determines first and second translation values and a first rotation value based on collected 2D scan sets. 3D scanner measures a second collection of 3D coordinates of points from second registration position. Processor adjusts second collection of points relative to first collection of points based at least in part on first and second translation values and first rotation value. Processor identifies a correspondence among registration targets in first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of first and second collection of 3D coordinates.
Abstract:
A method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position and a second collection of 3D coordinates of points from a second registration position. In between these positions, the 3D scanner collects 2D camera images. A processor determines first and second translation values and a first rotation value based on the 2D camera images. The processor adjusts the second collection of points relative to the first collection of points based at least in part on the first and second translation values and the first rotation value. The processor identifies a correspondence among registration targets in the first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of the first and second collection of 3D coordinates.
Abstract:
A system includes a measurement device configured to measure a distance, a first angle, and a second angle to a retroreflector target. The system further includes a probe having the retroreflector target, an inclinometer sensor, a camera, and a processor, the inclinometer sensor configured to determine a two-dimensional inclination of the probe relative to a gravity vector, the camera configured to capture an image of a light emitted from or reflected by the measurement device, the processor configured to determine six degrees of freedom of the probe based at least in part on the distance, the first angle, the second angle, the two-dimensional inclination, and the captured image of the camera.
Abstract:
A method for measuring and registering 3D coordinates has a 3D scanner measure a first collection of 3D coordinates of points from a first registration position. The 3D scanner collects 2D scan sets as 3D measuring device moves from first to second registration positions. A processor determines first and second translation values and a first rotation value based on collected 2D scan sets. 3D scanner measures a second collection of 3D coordinates of points from second registration position. Processor adjusts the second collection of points relative to first collection of points based at least in part on first and second translation values and first rotation value. Processor identifies a correspondence among registration targets in first and second collection of 3D coordinates, and uses this correspondence to further adjust the relative position and orientation of first and second collection of 3D coordinates.