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OpenDroneMap is an open source photogrammetry toolkit to process aerial imagery (usually from a drone) into maps and 3D models. [3] [4] [5] The software is hosted and distributed freely on GitHub. [6] OpenDroneMap has been integrated within American Red Cross's in-field Portable OpenStreetMap system. [7]
The software is for users of DJI drones or the PrecisionHawk Lancaster and ensures quality data tags for accurate mapping and analysis. [14] PrecisionViewer is a software application to review flight coverage on-site and add Ground Control Points. This software is compatible with all drones.
LuciadLightspeed consists of over 100 different software components and connectors to fuse, visualize and analyze geospatial data. This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections.
Unmanned aircraft system traffic management (UTM) is an air traffic management ecosystem under development for autonomously controlled operations of unmanned aerial systems (UAS) by the FAA, NASA, other federal partner agencies, and industry. They are collaboratively exploring concepts of operation, data exchange requirements, and a supporting ...
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Electronics errors are one of several accuracy-degrading effects outlined in the table above. When taken together, autonomous civilian GPS horizontal position fixes are typically accurate to about 15 meters (50 ft). These effects also reduce the more precise P(Y) code's accuracy.
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