Trimble

Some embodiments of the invention pertain to generating and transmitting information suitable for use in contributing to computing a positioning solution based on navigation satellite system (NSS) signals received by a NSS receiver, to minimize multipath and atmospheric errors in the resulting positioning solution so as to increase its accuracy. The method involves a plurality of reference stations 100, 200 comprising a primary reference station 100 and at least one secondary reference station 200. Systems and computer programs are also disclosed.

A computer implemented method is presented, the method comprising: collecting feature data comprising a plurality of features, each feature associated with a model of one or more models and a value; generating a machine learning model by performing feature selection on the feature data to select a chosen feature space comprising a subset of the plurality of features, wherein the subset of the plurality of features comprises one or more additional feature, wherein the value associated with each of the one or more additional feature in the chosen feature space is set to zero; training the machine learning model using the one or more values associated with the one or more features of the subset of the plurality of features; detecting a user initiated change affecting the chosen feature space. The method further comprises, in response to detecting the user initiated change affecting the chosen feature space: identifying one or more relevant features of the plurality of features; determining if at least one of the one or more relevant features is an unseen feature and performing either partial or full retraining based on the determination. The retrained model can then be applied in classifying the feature data.

There is provided a computer-implemented method for identifying a target object in a 3D point cloud. The 3D point cloud representing a real-world scene, and the method comprise obtaining plurality of 2D frames of the 3D point cloud depicting the target object at a respective plurality of different angles, identifying the target object in each of the plurality of 2D frames and based on identifying the object in each of the plurality of 2D frames, identifying a set of points in the 3D point cloud that represent the target object.

Image data representing a two-dimensional image is received. Symbols are extracted from the image data using a detection service. The symbols are encoded into representation vectors, each representing distinct symbols. A labeled two-dimensional image is generated by (i) performing a comparison between a representation vector and representation vectors of symbols included in a library of known symbols, (ii) in accordance with determining that the corresponding representation vector exceeds a threshold similarity with a particular representation vector, applying a first label to the symbol, wherein the first label is a label of a first symbol that is represented by the particular representation vector, and (iii) in accordance with determining that the corresponding representation vector does not exceed the threshold similarity with representation vectors, applying a second label to the symbol. The labeled two-dimensional image is provided for facilitating a real-world operation involving the two-dimensional image.

Described herein are systems, methods, and other techniques for localizing an interference signal relative to a GNSS receiver. A method includes collecting a first phase difference measurement using first and second antennas and a first angle measurement using an inertial sensor. The method includes collecting a second phase difference measurement using the first and second antennas and a second angle measurement using the inertial sensor. The method includes searching a phase difference map using the first and second phase difference measurements and an angle offset between the first and second angle measurements to identify a compatible set of phase differences in the phase difference map. The angle of arrival of the interference signal is estimated based on indices of the compatible set of phase differences in the phase difference map.

A method for generating a point cloud from an image of a scene, the method comprising: obtaining image data representing an image of a scene as captured by an image sensor; generating, based on the image data, an estimated point cloud comprising a plurality of estimated point positions corresponding to features of the scene, by using a machine-learning model trained to estimate point positions from such image data; selecting one or more features of the scene; obtaining, a measured point cloud comprising a plurality of measured point positions measured using electronic distance measurement, said plurality of measured point positions comprising at least respective measured point positions corresponding to the selected one or more features; comparing respective ones of the estimated point positions that correspond to the selected one or more features, and the respective ones of the measured point positions that correspond to the selected one or more features; determining based on the comparison, a transformation that can be applied to the plurality of estimated point positions, such that the respective ones of the estimated point positions more closely align with the respective ones of the measured point positions; and storing the transformation in a computer-readable memory. A further optional method comprises: obtaining second image data representing an image of a scene as captured by an image sensor; generating, based on the second image data, a second estimated point cloud comprising a plurality of estimated point positions corresponding to features of the scene, by using a machine-learning model trained to estimate point positions from such image data; and transforming the second estimated point cloud into a transformed point cloud using the transformation.

The present disclosure relates to a surveying instrument and to a method of operating a surveying instrument for tracking of a target including a plurality of light emitting elements and/or a plurality of light reflecting elements configured to emit and/or reflect light radially. The surveying instrument includes a tracking unit configured to adjust a sighting axis of said surveying instrument towards said target by maintaining a predetermined distribution of signal levels on a light sensitive detector. The method comprises obtaining an error function representative of a misalignment of said sighting axis with respect to a reference point in the target as a function of an orientation of the target relative to said surveying instrument, receiving information indicative of an orientation of said target relative to said surveying instrument while tracking said target, retrieving an error from said error function based on the received information, and compensating for the retrieved error.

A surveying target 1 comprises cage 7 including a plurality of slats 9, and a target body 3 having a convex surface 5 positioned within the cage 7. The cage 7 is configured such that, in an elevational view of the surveying target 1, plural portions 17 of the surface 5 of the target body 3 are visible between adjacent slats 9. Moreover, in the elevational view, a perimeter 19 of the surveying target 1 is defined by the cage 7. The color of the slats 9 is different from a color of the surface 5 of the target body 3.

A computer-implemented method for transmitting changes during collaborative model editing is disclosed. The method comprises running a modelling application configured to model physical structures as model objects and receiving a reference model object, wherein the reference model object is representative of at least part of a first model object. The method comprises creating a transmission object comprising at least one of a proxy model object comprising a modified version of the reference model object and a second model object. The method further comprises creating a reference transmission object, wherein the reference transmission object is representative of at least part of the transmission object, and transmitting the reference transmission object.

A surveying instrument (100) is provided. The surveying instrument comprises a distance measurement unit (102) and a first optical receiver (108). The distance measurement unit comprises a transmitter (104) and a detector (106). The transmitter is configured to emit light (L1) via a first optical path (OP1). The detector is configured to receive light (L2) via the first optical path. The first optical receiver is adapted to receive light (L3) via a second optical path (OP2). The first optical path includes a front lens (110), a beam splitting unit (112), and at least one first focus adjusting element (113). The at least one first focus adjusting element is configured to adjust a focus of the distance measurement unit. The second optical path includes the front lens, the beam splitting unit and at least one second focus adjusting element (117). The at least one second focus adjusting element is configured to adjust a focus of the first optical receiver. The beam splitting unit is configured to split the first optical path from the second optical path. The transmitter and the detector share the first focus adjusting element as a common focus adjusting element.