Abstract: A system and method for measuring three-dimensional (3D) coordinate values of an environment is provided. The method including moving a scanning platform through the environment along a path. The position of the scanning platform is localized using the scanner. 3D coordinate values are with a 3D scanner that is coupled to the scanning platform.

Abstract: A system and method for providing a distributed measurement system. The system performs operations that include receiving, via a user interface of a user device, a request from a requestor to access a data file of a project. The project includes a plurality of data files including the data file, and at least one of the one or more data files is generated based at least in part on measurement data output from a measurement device. Based on determining that the requestor has permission to access the data file, one or more editing options are provided for editing the data file. The one or more editing options vary based at least in part on one or both of a characteristic of the user device and a characteristic of the data file. The data file is edited in response to receiving an editing request.

Abstract: An example method includes receiving, via a 3D scanner, a 3D scan of the environment. The 3D scan includes a global position and is partitioned into a plurality of 3D submaps. The method further includes receiving, via a two-dimensional (2D) scanner accessory, a plurality of 2D submaps of the environment. The method further includes receiving coordinates of the scan position in the plurality of 2D submaps in response to the 3D scanner initiating the acquisition of the 3D scan. The method further includes associating the coordinates of the scan position with the plurality of 2D submaps. The method further includes performing real-time positioning by linking the coordinates of the scan position with the plurality of 2D submaps using a SLAM algorithm. The method further includes performing, based at least in part on the real-time positioning, a registration technique on the plurality of 3D submaps to generate a global map.

Abstract: A system and method of scanning an environment and acquiring an image is provided. The system includes a mobile device having a camera and a first position indicator. A scanner having a light emitter and a light receiver is provided. The scanner determining coordinates of surfaces in an environment in response to emitting light with the light emitter and receiving light with the light receiver, the scanner having a second position indicator. One or more processors are provided that determine the position of the mobile computing device and transmits the data between the scanner in response to the first position indicator engaging the second position indicator.

Abstract: Techniques are described to determine a constraint for performing a simultaneous location and mapping. A method includes detecting a first set of planes in a first scan-data of an environment, and detecting a second set of planes in a second scan-data. Further, a plane that is in the first set of planes and the second set of planes is identified. Further, a first set of measurements of a landmark on the plane is determined from the first scan-data, and a second set of measurements of said landmark is determined from the second scan-data. The constraint is determined by computing a relationship between the first set of measurements and the second set of measurements.

Abstract: A system for generating an automatically segmented and annotated two-dimensional (2D) map of an environment includes processors coupled to a scanner to convert a 2D map from the scanner into a 2D image. Further, a mapping system categorizes a first set of pixels from the image into one of room-inside, room-outside, and noise by applying a trained neural network to the image. The mapping system further categorizes a first subset of pixels from the first set of pixels based on a room type if the first subset of pixels is categorized as room-inside. The mapping system also determines the room type of a second subset of pixels from the first set of pixels based on the first subset of pixels by using a flooding algorithm. The mapping system further annotates a portion of the 2D map to identify the room type based on the pixels corresponding to the portion.

Abstract: Techniques are described for converting a 2D map into a 3D mesh. The 2D map of the environment is generated using data captured by a 2D scanner. Further, a set of features is identified from a subset of panoramic images of the environment that are captured by a camera. Further, the panoramic images from the subset are aligned with the 2D map using the features that are extracted. Further, 3D coordinates of the features are determined using 2D coordinates from the 2D map and a third coordinate based on a pose of the camera. The 3D mesh is generated using the 3D coordinates of the features.

Abstract: A system and method for providing a distributed measurement system. The system performs operations that include receiving, via a user interface of a user device, a request to access a data file of a project. The project includes one or more data files including the data file, and at least one of the one or more data files is generated based at least in part on measurement data output from a measurement device. One or more editing options are provided for editing the data file. The one or more editing options vary based at least in part on one or both of a characteristic of the user device and a characteristic of the data file. The data file is edited in response to receiving an editing request that includes an editing option of the one or more editing options.

Abstract: A system for using an augmented reality (AR) enabled mobile computing device for performing one-touch registration of three-dimensional (3D) scans of an environment is provided. The system includes one or more processors, a mobile computing device, and a 3D scanner being movable from a first position to a second position. The processors are responsive to executable instructions which cause the 3D scanner at the first and second positions to determine 3D coordinates of a first and second collection of points on object surfaces in the environment. In addition, the 3D scanner receives an estimated location of the mobile computing device from the mobile device in response to the 3D scanner being in contact with the mobile computing device at the first and second locations. A registration of the first collection of points and the second collection of points is based on the estimated locations of the mobile computing device.

Abstract: A method for performing a simultaneous location and mapping of a scanner device includes detecting a set of lines in a point cloud, and identifying a semantic feature based on the set of lines. The method further includes assigning a first scan position of the scanner device in the surrounding environment at the present time t1 as a landmark, and linking the landmark with the portion of the map. The method further includes determining that the scanner device has moved, at time t2, to the scan position that was marked as the landmark based on identifying said semantic feature in another scan-data. In response, a second scan position at time t2 is determined. Also, a displacement vector is determined for the map based on a difference between the first scan position and the second scan position. Subsequently, a revised second scan position is computed based on the displacement vector.

Abstract: A system that includes computer executable instructions that, when executed by the processor, cause the processor to perform operations including receiving a first 2D map of a location. The first 2D map was generated at a first time based on first scan data from a coordinate measurement scanner and a portable computing device. The coordinate measurement scanner includes a light source, a first image sensor, and a controller. The portable computing device includes a second image sensor. A second 2D map of the location is received. The second 2D map was generated at a second time based on second scan data from the coordinate measurement scanner and the portable computing device. The first 2D map is aligned with the second 2D map, and their contents are compared. Any differences in the contents of the first 2D map and the second 2D map are output.

Abstract: A system and method for measuring three-dimensional (3D) coordinate values of an environment is provided. The system includes a movable base unit a first scanner and a second scanner. One or more processors performing a method that includes causing the first scanner to determine first plurality of coordinate values in a first frame of reference based on an emitted first beam of light and a received first reflected light. The second scanner determines a second plurality of 3D coordinate values in a second frame of reference as the base unit is moved from a first position to a second position. The determining of the first coordinate values and the second plurality of 3D coordinate values being performed simultaneously. The second plurality of 3D coordinate values are registered in a common frame of reference based on the first plurality of coordinate values.

Abstract: A system and method of generating a two-dimensional image of an environment is provided. The system includes a 2D scanner that comprises a light source, an image sensor and a controller. The controller determines a distance value to at least one of the object points. An inertial measurement unit is coupled to the scanner and has a first sensor. The first sensor has a first characteristic. A mobile computing device is removably coupled to the 2D scanner, the mobile computing device having a second sensor, the second sensor having a second characteristic. Processors are provided that are responsive to compare the first characteristic and the second characteristic and select one of the first or second sensor based on the comparison. The processors are further generate an image of the environment based on a signal from the selected first or second sensor.

Abstract: A method and system for generating a three-dimensional (3D) map of an environment is provided. An example method includes receiving a 3D scan and portions of a 2D map of the environment and receiving coordinates of the scan position in the 2D map. The method further includes associating the coordinates of the scan position with the portion of the 2D map. The method further includes linking the coordinates with the portion of the 2D map. The method further includes storing submap data for each of the plurality of submaps into a data object associated respective submaps. The method further includes performing a loop closure algorithm on each of the plurality of submaps. The method further includes, for each of the plurality of submaps for which the position anchor of the submap changed during performing the loop closure algorithm, determining a new data object position for the data objects.

Abstract: Generating a three-dimensional (3D) map of an environment includes receiving, via a 3D-scanner that is mounted on a moveable platform, a 3D-scan of the environment while the moveable platform moves through the environment. The method further includes receiving via a two-dimensional (2D) scanner that is mounted on the moveable platform, a portion of a 2D-map of the environment, and receiving first coordinates of the scan position in the 2D-map. The method further includes associating the scan position with the portion of the 2D-map as a virtual landmark. In response to the movable platform being brought back at the virtual landmark, a displacement vector for the 2D-map is determined based on a difference between the first coordinates and a second coordinates that are determined for the scan position. A revised scan position is calculated based on the displacement vector, and the revised scan position is used to register the 3D-scan.

Abstract: A system and method for measuring three-dimensional (3D) coordinate values of an environment is provided. The system includes a movable base unit and a 2D scanner. A 3D scanner is coupled to the base unit, the 3D scanner measuring 3D coordinates and grey values of surfaces in the environment, the 3D scanner operating in either a compound or helical mode. Processors perform a method comprising: causing the 3D scanner to measure a first 3D coordinate values while operating in one of the compound or helical mode as the base unit is moved from the first to the second position; causing the 3D scanner to measure a second 3D coordinate values while operating in compound mode when the base unit is stationary between the first and second position; and registering the first 3D coordinate values and second 3D coordinate values into a single frame of reference.

Abstract: A system and method for measuring three-dimensional (3D) coordinate values of an environment is provided. The method including moving a 2D scanner through the environment. A 2D map of the environment is generated using the 2D scanner. A path is defined through the environment using the 2D scanner. 3D scan locations along the path are defined using the 2D scanner. The 2D scanner is operably coupled to a mobile base unit. The mobile base unit is moved along the path based at least in part on the 2D map and the defined path. 3D coordinate values are measured at the 3D scan locations with a 3D scanner, the 3D scanner being coupled to the mobile base unit.

Abstract: A system and method of automatic re-localization of a handheld scanning device in a previously mapped environment is provided. The system includes a two-dimensional (2D) scanner and one or more processors operably coupled to the 2D scanner. The one or more processors are responsive to non-transitory executable instructions for performing operations that include determining a current location of the 2D scanner in an environment relative to a location in a previously generated 2D image of the environment. The operations also include generating a new 2D image of at least a subset of the environment based at least in part in response to a signal from a first sensor. The at least a subset of the environment includes the current location of the 2D scanner and at least one other location in the environment. The operations further include overlapping portions of the previously generated 2D image and the current 2D image.

Abstract: A system and method of generating a two-dimensional image of an environment is provided. The system includes a 2D scanner that comprises a light source, an image sensor and a controller. The controller determines a distance value to at least one of the object points. An inertial measurement unit is coupled to the scanner and has a first sensor. The first sensor has a first characteristic. A mobile computing device is removably coupled to the 2D scanner, the mobile computing device having a second sensor, the second sensor having a second characteristic. Processors are provided that are responsive to compare the first characteristic and the second characteristic and select one of the first or second sensor based on the comparison. The processors are further generate an image of the environment based on a signal from the selected first or second sensor.

Abstract: One or more embodiments are described for generating a two dimensional map of an environment using a set of submaps that include point clouds of the environment that are captured using multiple scanner systems that move independently from one position to another in the environment. Each 2D scanner system steers a beam of light within a first plane to illuminate object points in the environment, and a controller determines a distance value to at least one of the object points. The 2D submaps of the environment are generated based on an activation signal from an operator and based at least in part on the distance value, each submap generated from a respective point in the environment and by a respective 2D scanner system. A central processor generates the 2D image of the environment using the 2D submaps.