Abstract: A method for registering a total station, which is deployed in a measurement environment with one or more objects, in the reference system of a computer-aided design (CAD) model, which images the one or more objects of the measurement environment, includes registering the total station by a control device.

Abstract: A method performed by one or more devices includes determining an information item indicative of at least one parameter affecting the treatment of a textile with the information item being detected by an information carrier of the textile (220) and/or a cleaning device (230), or a cleaning agent (210) and the textile (220), or the cleaning agent (210) and the cleaning device, or the cleaning agent (210) and the textile (220) and the cleaning device and the information carrier comprises a package, a label, an NFC chip or a combination thereof, determining at least one treatment parameter of the textile based at least in part on the determined information item, and outputting or triggering the outputting of the at least one determined treatment parameter.

Abstract: A retrofittable sensor unit for controlling a dosing device of a cleaning machine includes an acquisition module having at least one sensor for capturing measurement variables, at least one monitoring unit for determining a current degree of soiling of articles for cleaning on the basis of the captured measurement variables, a communication unit configured to communicate with at least one dosing device, in particular to transmit a dosing command to at least one dosing device depending on the current degree of soiling of the articles for cleaning. The retrofittable sensor unit can be arranged separately from the dosing device.

Abstract: A method for the dosing of cleaning agents in cleaning machines, including the steps: receiving control information items, wherein the control information items are dependent on information about a cleaning machine; determining the progress of a cleaning operation; dosing of cleaning agent depending on the received control information items and the determined progress of the cleaning operation; wherein the information about the cleaning machine can be determined via a sensor-based automatic recognition.

Abstract: A method for determining a position and/or orientation of a measuring device in a measuring environment which is mapped in a geometry model by a trained artificial neural network that has been trained by known measuring environments to give a prognosis of the need for a further measurement by the measuring device and, if necessary, a prognosis of the suitability of a measuring position of the measuring device.

Abstract: Systems and techniques are provided for determining one or more poses of one or more objects. For example, a process can include determining, using a machine learning system, a plurality of keypoints from an image. The plurality of keypoints are associated with at least one object in the image. The process can include determining a plurality of features from the machine learning system based on the plurality of keypoints. The process can include classifying the plurality of features into a plurality of joint types. The process can include determining pose parameters for the at least one object based on the plurality of joint types.

Abstract: A method performed by one or more devices is disclosed. The method includes obtaining a geometry information item representative of a spatial location of a plurality of points of a surface of a textile (52), determining at least one treatment parameter for treating the textile (52) at least partially based on a geometry information item, and outputting or triggering an output of the at least one treatment parameter.

Abstract: Systems and techniques are provided for determining one or more poses of one or more objects. For example, a process can include determining, using a machine learning system, a plurality of keypoints from an image. The plurality of keypoints are associated with at least one object in the image. The process can include determining a plurality of features from the machine learning system based on the plurality of keypoints. The process can include classifying the plurality of features into a plurality of joint types. The process can include determining pose parameters for the at least one object based on the plurality of joint types.

Abstract: A method for registering a total station, which is deployed in a measurement environment with one or more objects, in the reference system of a computer-aided design (CAD) model, which images the one or more objects of the measurement environment, includes registering the total station by a control device.

Abstract: A method for the dosing of cleaning agents in cleaning machines includes the steps: receiving the control information items; wherein the control information items are dependent on an information item about a cleaning machine; determining the progress of a cleaning operation; dosing of cleaning agent depending on the received control information items and the determined progress of the cleaning operation; wherein the information item about the cleaning machine can be manually input via a user interface.

Abstract: A method for the dosing of cleaning agents in cleaning machines, including the steps: receiving control information items, wherein the control information items are dependent on information about a cleaning machine; determining the progress of a cleaning operation; dosing of cleaning agent depending on the received control information items and the determined progress of the cleaning operation; wherein the information about the cleaning machine can be determined via a sensor-based automatic recognition.

Abstract: A method performed by one or more devices is disclosed. The method includes obtaining a geometry information item representative of a spatial location of a plurality of points of a surface of a textile (52), determining at least one treatment parameter for treating the textile (52) at least partially based on a geometry information item, and outputting or triggering an output of the at least one treatment parameter.

Abstract: A retrofittable sensor unit for controlling a dosing device of a cleaning machine includes an acquisition module having at least one sensor for capturing measurement variables, at least one monitoring unit for determining a current degree of soiling of articles for cleaning on the basis of the captured measurement variables, a communication unit configured to communicate with at least one dosing device, in particular to transmit a dosing command to at least one dosing device depending on the current degree of soiling of the articles for cleaning. The retrofittable sensor unit can be arranged separately from the dosing device.

Abstract: A method includes acquiring position information and/or orientation information from at least two cleaning machines with the position information and/or the orientation information being indicative of a position and/or orientation of the at least two cleaning machines in an area to be cleaned and/or cared for, acquiring soiling information indicative of a location or area that is to be cleaned and/or cared for within the area to be cleaned or cared for, determining control information based at least partially on the acquired position information and/or orientation information and on the acquired soiling information, and outputting or triggering of an output of the control information thereby determined. A corresponding device and system are also disclosed.

Abstract: A method determines a pose of an image capture device. The method includes accessing an image of a scene captured by the image capture device. A semantic segmentation of the image is performed, to generate a segmented image. An initial pose of the image capture device is generated using a three-dimensional (3D) tracker. A plurality of 3D renderings of the scene are generated, each of the plurality of 3D renderings corresponding to one of a plurality of poses chosen based on the initial pose. A pose is selected from the plurality of poses, such that the 3D rendering corresponding to the selected pose aligns with the segmented image.

Abstract: A method performed by one or more devices includes determining an information item indicative of at least one parameter affecting the treatment of a textile with the information item being detected by an information carrier of the textile (220) and/or a cleaning device (230), or a cleaning agent (210) and the textile (220), or the cleaning agent (210) and the cleaning device, or the cleaning agent (210) and the textile (220) and the cleaning device and the information carrier comprises a package, a label, an NFC chip or a combination thereof, determining at least one treatment parameter of the textile based at least in part on the determined information item, and outputting or triggering the outputting of the at least one determined treatment parameter.

Abstract: A method for the dosing of cleaning agents in cleaning machines includes the steps: receiving the control information items; wherein the control information items are dependent on an information item about a cleaning machine; determining the progress of a cleaning operation; dosing of cleaning agent depending on the received control information items and the determined progress of the cleaning operation; wherein the information item about the cleaning machine can be manually input via a user interface.

Abstract: A method determines a pose of an image capture device. The method includes accessing an image of a scene captured by the image capture device. A semantic segmentation of the image is performed, to generate a segmented image. An initial pose of the image capture device is generated using a three-dimensional (3D) tracker. A plurality of 3D renderings of the scene are generated, each of the plurality of 3D renderings corresponding to one of a plurality of poses chosen based on the initial pose. A pose is selected from the plurality of poses, such that the 3D rendering corresponding to the selected pose aligns with the segmented image.

Abstract: Disclosed are a system, apparatus, and method for multiple client simultaneous localization and mapping. Tracking and mapping may be performed locally and independently by each of a plurality of clients. At configurable points in time map data may be sent to a server for stitching and fusion. In response to successful stitching and fusion to one or more maps known to the server, updated position and orientation information relative to the server's maps may be sent back to the clients. Clients may update their local map data with the received server location data. Clients may receive additional map data from the server, which can be used for extending their maps. Clients may send queries to the server for 3D maps, and the queries may include metadata.

Abstract: For an image processing concept, a database including data derived from a plurality of frames of a video is provided in a device. A live video feed is obtained from a camera of the device. Information is extracted from an image of the video feed. A search is performed in the database using the extracted information to retrieve a list of potential frames out of the plurality of frames. An initial pose of the selected image is estimated with respect to one frame of the list as a function of the extracted information and the data derived from the one frame. Respective subsequent poses for subsequent images from the live video feed are iteratively estimated, wherein the associated subsequent pose is estimated based on said subsequent image and a respective previously estimated pose. The video feed is augmented on the device with virtual information based on the estimated initial pose and the subsequent poses.