Method to Characterize Potential UAS Encounters Using Open Source Data

Aerospace

Andrew Weinert¹ 

[1] MIT Lincoln Laboratory, Lexington, MA 02420-9176, USA;

关键词: unmanned aerial vehicles;    drones;    aerospace control;    simulation;    geospatial analysis;    open source software;   

DOI  :  10.3390/aerospace7110158

来源: DOAJ

【 摘 要 】

As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may encounter each other. To inform the development and evaluation of safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using open source data and parallel processing techniques, we performed trillions of calculations to estimate the relative horizontal distance between geospatial points across sixteen locations.

【 授权许可】

Unknown