Abstract: A method for classifying a set of source files of reality capture data into an asset class of digital reality capture assets may include receiving, from a user device, a set of payloads including metadata of the set of source files of the reality capture data corresponding to a region of interest captured by a camera. The method may include classifying the set of source files of the reality capture data into the asset class of the digital reality capture assets, based on the set of payloads including the metadata of the set of source files of the reality capture data. The method may include providing, to the user device, information identifying the asset class of the digital reality capture assets to which the set of source files are classified to permit a digital reality capture asset, corresponding to the asset class, of the region of interest to be generated based on the set of source files.

Abstract: A method for adaptive mission execution by an unmanned aerial vehicle includes receiving a set of pre-calculated mission parameters corresponding to an initial UAV mission; collecting UAV operation data during flight of the unmanned aerial vehicle; calculating a set of modified mission parameters from the set of pre-calculated mission parameters and the UAV operation data, the set of modified mission parameters corresponding to a modified UAV mission; and executing the modified UAV mission on the unmanned aerial vehicle.

Abstract: A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

Abstract: A method for adaptive mission execution by an unmanned aerial vehicle includes receiving a set of pre-calculated mission parameters corresponding to an initial UAV mission; collecting UAV operation data during flight of the unmanned aerial vehicle; calculating a set of modified mission parameters from the set of pre-calculated mission parameters and the UAV operation data, the set of modified mission parameters corresponding to a modified UAV mission; and executing the modified UAV mission on the unmanned aerial vehicle.