Abstract: A system for railroad directive management is presented. The system can receive a myriad of data related to a directive, track segments, and/or vehicle events on the track and/or track segments. Vehicle- and/or event-specific data can be compared with one or more thresholds, including force thresholds, temporal thresholds, environmental thresholds, and/or event thresholds to determine whether and what kind of directive modification should be instantiated. Specialized algorithms can be implemented to trace vehicle paths along the track to determine whether directive-related segments are traversed, and specialized clustering algorithms can be utilized to cluster data unique to a particular segment on a per-segment basis. The system can be integrated with existing track infrastructure and can further generate alerts to notify coupled systems and/or personnel of directives and/or modification thereof.

Abstract: A three-dimensional (3D) mapping system can be configured to generate a 3D map of a real-world environment using annotation of large image data sets, in which terrestrial imagery can be programmatically labeled with accurate labels using remotely sensed overhead image data. The 3D mapping system can implement photogrammetry to create a point cloud. Each pixel in the point cloud can be classified based on a consensus of each frame. The point cloud can be co-registered to a remotely sensed reference dataset to provide precise spatial coordinates for each pixel. Different patches of point clouds can be stitched together to provide a complete 3D map for a given area, such as a downtown area of a city.