Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A measuring system comprising a measuring instrument and a computer system, the measuring instrument comprising a base unit, a support unit mounted on the base unit, a targeting unit comprising a distance meter having a targeting axis, a first angle encoder configured for measuring a horizontal angular position of the support unit, a second angle encoder for measuring a vertical angular position of the targeting unit, a camera for capturing image data, and a control unit is configured for computing a position of a target based on a preconfigured target attribute, the computer system being configured for receiving the image data from the camera, executing a classifier for determining at least one of a plurality of classes of at least part of the image data, validating a preconfigured target attribute based on the at least one class target attribute, and generating result data based on the validation.

Abstract: A surveying device including a base defining a base axis, a support structure rotatable around the base axis and defining a rotation axis, a light emitting unit emitting light and a light receiving unit for detecting reflected light. A rotation unit is mounted on the support structure for emitting and receiving light in defined directions, wherein the rotation unit comprises a rotation body rotatable around the rotation axis including a scanning mirror arranged tilted relative to the rotation axis. An imaging unit for capturing an image of a scanning region is provided. The imaging unit comprises a camera fixedly arranged on the support structure, the rotation body comprises at least one reflecting deflecting surface assigned to the camera. The imaging unit and the rotation body are arranged so that the field of view comprises a defined field angle around the rotation axis.

Abstract: Surveying apparatus comprising an event-based camera comprising a dynamic vision sensor.

Abstract: A measuring system comprising a measuring instrument and a computer system, the measuring instrument comprising a base unit, a support unit mounted on the base unit, a targeting unit comprising a distance meter having a targeting axis, a first angle encoder configured for measuring a horizontal angular position of the support unit, a second angle encoder for measuring a vertical angular position of the targeting unit, a camera for capturing image data, and a control unit is configured for computing a position of a target based on a preconfigured target attribute, the computer system being configured for receiving the image data from the camera, executing a classifier for determining at least one of a plurality of classes of at least part of the image data, validating a preconfigured target attribute based on the at least one class target attribute, and generating result data based on the validation.

Abstract: 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.

Abstract: Method for precisely determining the position offset and orientation offset of a second deployment relative to a first deployment in the same measurement environment of a geodetic surveying device, in particular a total station or a theodolite, on the basis of directions, determined on the basis of the image, and at least one distance, measured by laser-optical means, to measurement environment points, which are imaged both in a second and in a first environment image.

Abstract: A surveying device including a base defining a base axis, a support structure rotatable around the base axis and defining a rotation axis, a light emitting unit emitting light and a light receiving unit for detecting reflected light. A rotation unit is mounted on the support structure for emitting and receiving light in defined directions, wherein the rotation unit comprises a rotation body rotatable around the rotation axis including a scanning mirror arranged tilted relative to the rotation axis. An imaging unit for capturing an image of a scanning region is provided. The imaging unit comprises a camera fixedly arranged on the support structure, the rotation body comprises at least one reflecting deflecting surface assigned to the camera. The imaging unit and the rotation body are arranged so that the field of view comprises a defined field angle around the rotation axis.

Abstract: 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.

Abstract: Some embodiments of the invention relate to a method for determining the position data of a geodesic surveying instrument by comparing of a reference data set extracted from data of an image of the surroundings of the surveying instrument position with position-referenced data sets which consists of data of a corresponding type, and determining the position data using the position reference of the selected position-referenced data set that has a comparatively important level of match with the reference data set.

Abstract: Some embodiments of the invention relate to a measuring device, in particular a video theodolite or video tachymeter. The measuring device may include a base, a support, a telescope optics having a lens, a physical target marking, an eyepiece, and a camera. The measuring device may also include an evaluation and control unit containing stored calibration parameters with respect to an image position indicating the target direction as target image position in the captured image, and a display for displaying a captured image having marking for the target image position. In some embodiments, a function may be included to respect and/or restore. In some embodiments, the function may be in form of an application on the user-device interface that can be called up.

Abstract: Method for precisely determining the position offset and orientation offset of a second deployment relative to a first deployment in the same measurement environment of a geodetic surveying device, in particular a total station or a theodolite, on the basis of directions, determined on the basis of the image, and at least one distance, measured by laser-optical means, to measurement environment points, which are imaged both in a second and in a first environment image.

Abstract: Some embodiments of the invention relate to a method for determining the position data of a geodesic surveying instrument by comparing of a reference data set extracted from data of an image of the surroundings of the surveying instrument position with position-referenced data sets which consists of data of a corresponding type, and determining the position data using the position reference of the selected position-referenced data set that has a comparatively important level of match with the reference data set.

Abstract: Some embodiments of the invention relate to a measuring device, in particular a video theodolite or video tachymeter. The measuring device may include a base, a support, a telescope optics having a lens, a physical target marking, an eyepiece, and a camera. The measuring device may also include an evaluation and control unit containing stored calibration parameters with respect to an image position indicating the target direction as target image position in the captured image, and a display for displaying a captured image having marking for the target image position. In some embodiments, a function may be included to respect and/or restore. In some embodiments, the function may be in form of an application on the user-device interface that can be called up.

Abstract: Method for providing target point candidates forming a candidate set for selecting a target point from the candidate set by means of a geodetic measuring device. The measuring device is coarsely oriented toward the target point, and an image is recorded in the sighting direction. A search process for certain target object candidates in the recorded image is performed by means of image processing and wherein at least one respective point representing the target object candidate is associated with each of the target object candidates as a target point candidate. Candidates are associated with a candidate set. respective weight values are derived according to at least one value of a predetermined target point property of the candidates and associated with the target point candidates. The target point candidates from the candidate set are each provided together with respective information representing the weight value associated with the target point candidate.

Abstract: Method for providing target point candidates forming a candidate set for selecting a target point from the candidate set by means of a geodetic measuring device. The measuring device is coarsely oriented toward the target point, and an image is recorded in the sighting direction. A search process for certain target object candidates in the recorded image is performed by means of image processing and wherein at least one respective point representing the target object candidate is associated with each of the target object candidates as a target point candidate. Candidates are associated with a candidate set. respective weight values are derived according to at least one value of a predetermined target point property of the candidates and associated with the target point candidates. The target point candidates from the candidate set are each provided together with respective information representing the weight value associated with the target point candidate.