Abstract: A method and a system for tube bending by a tube bending machine, wherein values of input parameters of the tube bending machine defining processing steps of the tube bending machine are determined as a function of a mapping of bending parameters defining a target tube bending geometry to the input parameters. The mapping is determined by a data-driven approach, wherein a machine learning based mapping model is fitted to tube bending machine processing data of an ongoing or a previous bending process, thereby providing a machine learning dependency of the input parameters from target bending parameters. For the training of the mapping model, values of the bending parameters and corresponding values of the input parameters are used, as well as a comparison information between the values of the bending parameters and measured actual values of the bending parameters resulting from the tube bending process.

Abstract: A method of associating data from a plurality of databases is disclosed. The method comprises accessing a first database comprising a first dataset and a second database comprising a second dataset. The method further comprises identifying a first set of expressions and a second set of expressions corresponding to the first dataset and the second dataset, respectively. The method further comprises determining a first set of clusters and a second set of clusters corresponding to the first database and the second database, respectively. Furthermore, the method comprises creating a relational database based on a set of relationships and a mapping function determined based on the first set of clusters and the second set of clusters.

Abstract: A system for providing 3D surveying of an environment by a mobile reality capture device. A motion state tracker is used to determine a motion pattern of the mobile reality capture device. If a determined motion pattern corresponds to a defined movement of the mobile reality capture device, the system is configured to automatically perform a derivation of an expected motion pattern of the mobile reality capture device. The movement category is associated to an environment-specific measurement movement of the mobile reality capture device, based on which an expected motion pattern of the mobile reality capture device is associated to the current movement category. By carrying out a comparison of the determined motion pattern and the expected motion pattern, feedback regarding the comparison of the determined motion pattern and the expected motion pattern is provided.

Abstract: A surveying system for measuring the position of a measuring point, the surveying system including a survey pole with a pointer tip for contacting the measuring point, and position giving means for making available the coordinative determination of a referenced position, the position giving means being placed on the body with a defined spatial relationship relative to the tip, a control and evaluation unit for deriving the position of the measuring point at least based on the determined referenced position and on the defined spatial relationship of the position giving means relative to the tip, and an inertial measurement unit comprising IMU sensors, a motion tracker configured to derive motions and/or motion patterns of the survey pole, wherein, if a derived motion or motion pattern corresponds to a defined motion pattern, the surveying system is configured to automatically perform an action associated with the defined motion pattern.

Abstract: A method of associating data from a plurality of databases is disclosed. The method comprises accessing a first database comprising a first dataset and a second database comprising a second dataset. The method further comprises identifying a first set of expressions and a second set of expressions corresponding to the first dataset and the second dataset, respectively. The method further comprises determining a first set of clusters and a second set of clusters corresponding to the first database and the second database, respectively. Furthermore, the method comprises creating a relational database based on a set of relationships and a mapping function determined based on the first set of clusters and the second set of clusters.

Abstract: Disclosed are methods and systems for training an artificial-intelligence structure based on designs of past fabrication or construction projects, and for automatically generating, by the trained artificial-intelligence structure and based on inputs related to an actual fabrication or construction project, designs for the actual project.