Abstract: An illustrative multi-view 3D positioning system assigns a respective 3D position estimate, with respect to a 3D space, to each of a plurality of detected instance datasets corresponding to objects present within the 3D space. Based on the 3D position estimates, the multi-view 3D positioning system sorts the plurality of detected instance datasets into a plurality of groupings corresponding to the objects so that each detected instance dataset is grouped together with other detected instance datasets corresponding to a same object. The multi-view 3D positioning system then determines a respective 3D position resolution, with respect to the 3D space, for each of the plurality of objects. These 3D position resolutions are determined based on the plurality of groupings of detected instance datasets and represent, with greater accuracy than the 3D position estimates, 3D positions of the objects within the 3D space. Corresponding methods and systems are also disclosed.

Abstract: One or more systems and methods for wireless equipment deployment are provided herein. Imagery of locations depicting structures within a list of structures is analyzed to identify features of the structures within the locations. Ranks may be calculated for the structures based upon structure scores and installation scores calculated from the features. In response to a rank for a structure exceeding a threshold, wireless equipment deployment of a communication device may be triggered so that the communication device is controlled to exchange communication signals with devices proximate the structure.

Abstract: An illustrative computing system generates, based on a plurality of point-of-interest data records each including data representative of a distinct set of features for a distinct point-of-interest associated with a distinct geographic location, a graph data structure that includes the plurality of point-of-interest data records and a plurality of weighted feature relationships interconnecting the plurality of point-of-interest data records. The computing system generates one or more merged point-of-interest data records based on the graph data structure and provides the one or more merged point-of-interest data records to a mapping system to indicate one or more points-of-interest on a user interface map of a geographic area.

Abstract: One or more systems and methods for wireless equipment deployment are provided herein. Imagery of locations depicting structures within a list of structures is analyzed to identify features of the structures within the locations. Ranks may be calculated for the structures based upon structure scores and installation scores calculated from the features. In response to a rank for a structure exceeding a threshold, wireless equipment deployment of a communication device may be triggered so that the communication device is controlled to exchange communication signals with devices proximate the structure.

Abstract: An illustrative computing system generates, based on a plurality of point-of-interest data records each including data representative of a distinct set of features for a distinct point-of-interest associated with a distinct geographic location, a graph data structure that includes the plurality of point-of-interest data records and a plurality of weighted feature relationships interconnecting the plurality of point-of-interest data records. The computing system generates one or more merged point-of-interest data records based on the graph data structure and provides the one or more merged point-of-interest data records to a mapping system to indicate one or more points-of-interest on a user interface map of a geographic area.

Abstract: An exemplary point-of-interest merging system accesses point-of-interest data records. Each point-of-interest data record includes data representative of a distinct set of features for a distinct point-of-interest. The merging system generates, based on the distinct sets of features of the point-of-interest data records, a graph data structure that includes the point-of-interest data records and weighted feature relationships interconnecting the point-of-interest data records. The merging system clusters, based on the graph data structure, the point-of-interest data records into subset groups of point-of-interest data records. The merging system generates one or more merged point-of-interest data records based on the clustered subset groups of point-of-interest data records.