Hexagon Technology Center Gmbh

Leica Geosystems Ag

Alexander Velizhev

Bernhard Metzler

Roman Parys

Thomas Fidler

Knut Siercks

Jochen Scheja

Elmar Vincent Van Der Zwan

Gregory Charles Walsh

Bernd Reimann

Stefan Martin Benjamin Gächter Toya

Stefan Martin Benjamin GÄCHTER Toya

A method may include identifying features in images of a setting captured by cameras associated with a laser scanner at a first location. The features may correspond to elements in the setting. The method may include correlating the features with scan point data associated with the elements. The scan point data may be derived from a scan of the setting by a laser of the laser scanner at the first location. The method may include tracking the features within images captured by the cameras. The images may be captured during movement of the laser scanner away from the first location. The method may include estimating a position and/or an orientation of the laser scanner at a second location based on the tracking of the features and based on the correlating of the features with the scan point data.

Multi-camera laser scanner

A system is disclosed that comprises a camera module and a control and evaluation unit. The camera module is designed to be attached to the surveying pole and comprises at least one camera for capturing images. The control and evaluation unit has stored a program with program code so as to control and execute a functionality in which a series of images of the surrounding is captured with the at least one camera; a SLAM-evaluation with a defined algorithm using the series of images is performed, wherein a reference point field is built up and poses for the captured images are determined; and, based on the determined poses, a point cloud comprising 3D-positions of points of the surrounding can be computed by forward intersection using the series of images, particularly by using dense matching algorithm.

Surveying system

A method and system for surveying and/or metrology for assigning particular classes of interest within measurement data, wherein an assignment of at least one measurement object to a first class of interest within the measurement data based on a classification model, is processed by a feedback procedure providing feedback data for a training procedure which provides update information for the classification model, wherein the training procedure is based on a machine learning algorithm, e.g. relying on deep learning for supervised learning and/or unsupervised learning.

Method for assigning particular classes of interest within measurement data

A method for registering two or more three-dimensional (3D) point clouds. The method includes, with a surveying instrument, obtaining a first 3D point cloud of a first setting at a first position, initiating a first Simultaneous Localisation and Mapping (SLAM) process by capturing first initial image data at the first position with a camera unit comprised by the surveying instrument, wherein the first initial image data and the first 3D point cloud share a first overlap, finalising the first SLAM process at the second position by capturing first final image data with the camera unit, wherein the first final image data are comprised by the first image data, with the surveying instrument, obtaining a second 3D point cloud of a second setting at the second position, and based on the first SLAM process, registering the first 3D point cloud and the second 3D point cloud relative to each other.

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St. Gallen, Switzerland

Alexander Velizhev