Hexagon Technology Center Gmbh

Leica Geosystems Ag

Zumtobel Lighting Gmbh

Hexagon Innovation Hub Gmbh

Bernhard Metzler

Knut Siercks

Alexander Velizhev

Roman Parys

Elmar Vincent Van Der Zwan

Jochen Scheja

Thomas Fidler

Stefan Martin Benjamin Gächter Toya

Bernd Reimann

Beat Aebischer

Gregory Charles Walsh

Bernd Walser

Zoltán Török

Alexandre Heili

Barbara Haupt

Markus Kächele

Bo Pettersson

Jürg Hinderling

Siegfried Wiltsche

Martin Havnør

Rune Fjellvang

Thomas Jensen

Heinz Lippuner

Norbert Kotzur

Josef Müller

Thomas Ammer

Hans-Martin Zogg

Josef Lais

Tim Mayer

Christoph Herbst

Oliver Faix

Stefan Petkov

Werner Amann

Jan Glückert

Ulrich Hornung

Marcel Kilga

Thomas Mörwald

Stefan Sieber

Veroljub Maksimovic

Werner Lienhart

Harald Vennegeerts

Carl-Thomas Schneider

Aldo Facchin

Tobias Heller

Matthias Saure

Josef Mueller

Andreas Pfister

Nils Van Heijnsbergen

Bernhard Richter

Stefan Martin Benjamin Gaechter Toya

Gunnar Neier

Burkhard Boeckem

Michael Helmberger

Nicolas Boehrer

Michal Pawel Pryczek

Martin Havnor

Stefan Martin Benjamin GÄCHTER Toya

Thomas Krepl

3D LiDAR scanning for generating a 3D point cloud of an environment, e.g. for surveying a construction side or for building surveying. Data points within the 3D laser scan data originating from multiple reflections within the environment, referred to as reflection points, are automatically identified and removed from the point cloud, by making use of a joined analysis of paired 3D laser scan data and image data captured with a measuring device. Points belonging to objects which appear in the 3D scan data but do not appear in the image data are classified as reflection points. Detection of the reflection points is provided by a reflection point classifier, which is trained to find semantic similarity and dissimilarity of 3D laser scan data and image data.

Filtering reflected points in a 3D LiDAR scan by joint evaluation of LiDAR data and image data with a reflection point classifier

Image-based method of defining a scanning area with a measuring radiation-based measuring device such as a laser scanner, the method comprising roughly aligning a targeting axis of the measuring device towards an area of interest to be scanned, the area of interest having a coherent visual property, capturing with known orientation to the targeting axis an image covering the area of interest, displaying the image to a user, manually selecting by the user of at least one pixel of a group of pixels representing the area of interest in the image, automatically segmenting the group of pixels based on a similarity to the at least one selected pixel using a machine learning algorithm, and automatically defining the scanning area based on border pixels of the first group of pixels.

Image-based method of defining a scanning area

Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

Facility surveillance systems and methods

A surveying device for a coordinative position determination of a spatial point, wherein the surveying device comprises a camera which is fixedly mounted to a transmission unit in a way that its field-of-view moves with a targeting component. The surveying device further comprises an image evaluator, configured for automatically identifying corresponding image features in different images of the camera, wherein the corresponding image features represent reference points within the environment, and for a derivation of a spatial transformation parameter from a motion of the corresponding features, wherein the spatial transformation parameter provides for a determination of a difference of a spatial pose of a target axis of the surveying device between different distance measurements which correspond to different images.

Surveying device with image evaluator for determining a spatial pose of the target axis

The present disclosure relates to a scanning device being configured to enable efficient identification of scanned measurement points being associated with moving objects in an otherwise static environment. The scanning device is built as total station or laser scanner being typically used for scanning an environment and enabling, based on the scanning, the generation of a three dimensional (3D) point cloud representing the scanned environment.

Scanning device for scanning an environment and enabling an identification of scanned moving objects

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 method and device for displaying desired positions in a live image of a construction site. The method mat include recording at least one position-referenced image of the construction site; linking at least one desired position to the position-referenced image; storing the position-referenced image together with desired position linkage in an electronic memory; recording a live image of the construction site, in particular in the form of a video, wherein the live image and the position-referenced image at least partially represent an identical detail of the construction site; retrieving the stored position-referenced image from the memory; fitting the position-referenced image with the live image, so that the desired position linked to the position-referenced image can be overlaid in a position-faithful manner on the live image; and position-faithful display of the desired position as a graphic marking in the live image.

Measurement method, measurement systems and auxiliary measurement instruments for displaying desired positions in a live image

The invention relates to a method for enhancing images for metrological applications. The method comprises the steps: 1) providing a geometric correction image having an image geometric correctness higher than the processed image geometric correctness and showing at least a part of the scene of interest, and 2) at least partially reducing the loss of initial metrological information in the distorted metrological information by fusing the enhanced image with the geometric correction image.

Dark image enhancement

One aspect of the invention relates to a fully automatic method for calculating the current, geo-referenced position and alignment of a terrestrial scan-surveying device in situ on the basis of a current panoramic image recorded by the surveying device and at least one stored, geo-referenced 3D scan panoramic image.

Method for ascertaining the suitability of a position for a deployment for surveying

A monitoring system for locating and classifying an event in a monitoring area by a computation unit including a visual 3D capturing unit providing geometric 3D information and an acoustic capturing unit providing an acoustic information of the monitoring area. An event detector is configured with an acoustic channel and a visual channel to detect the event. The acoustic channel is configured to detect the event as a sound event in the acoustic information and to determine a localization of the sound. The visual channel is configured to detect the event as a visual event in the geometric 3D information and to derive a localization of the visual event. The event detector provides detected events with a region of interest for detected event, which is analyzed in order to assign the detected event a class within a plurality of event classes.

Visual-acoustic monitoring system for event detection, localization and classification

A method of generating an information enhanced model of an industrial plant. The method includes providing a first digitalized topology of a plant by processing a spatial scan of the plant, wherein in course of the processing, plant structural elements and their interconnections are recognized and digitalized, providing a second digitalized topology of the plant, based on a process and instrumentation diagram, the second topology being representative of plant structural elements and their interconnections, and correlating the first and the second digitalized topology by at least semi-automatically identifying and interlinking corresponding structural elements in the first and second digitalized topology.

Method of generation of an enhanced plant model

Fully automatic position and alignment determination method for a terrestrial laser scanner and method for ascertaining the suitability of a position for a deployment for surveying

A method for image-based point measurement includes moving a surveying system along a path through a surrounding and capturing a series of images of the surrounding. A subset of images are defined as frames and a subset of frames are defined as key-frames. Textures are identified in first and second frames and are tracked in successive frames to generate first and second frame feature lists. A structure from motion algorithm is used to calculate camera poses for the images based on the first and second frame feature lists. Corresponding image points in images of the series of images are identified using feature recognition in at least a plurality of images. Three-dimensional coordinates of the selected image point are determined using forward intersection with the poses of the subset of images in which corresponding image points are identified. The three-dimensional coordinates of the selected image point are presented to the user.

Surveying system with image-based measuring

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Dornbirn, Austria

Bernhard Metzler