Characterization of unmanned aerial systems (UAS) geometry using feeds from fixed video cameras

Srikanth Gururajan; Matthew Dreyer

doi:10.1117/12.2563782

20 May 2020 Characterization of unmanned aerial systems (UAS) geometry using feeds from fixed video cameras

Srikanth Gururajan, Matthew Dreyer

Proceedings Volume 11398, Geospatial Informatics X; 1139806 (2020) https://doi.org/10.1117/12.2563782
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

With the widespread use of multirotor UAS/drones in the civilian and commercial sector, the skies are going to get crowded. Under this scenario, it is not inconceivable to anticipate potential issues with enforcing flight rules and regulations on these drones. This might come about as a result of some failures on the drones themselves (loss of communication, sensor or actuator failures) or in some cases, deliberatively uncooperative drones. Therefore, in order to implement effective Counter UAS (C-UAS) measures, it is important to fully characterize the uncooperative drone, particularly its capabilities; the first step in this process is the identification of the geometry of the drone. In this paper, we present the preliminary results of an effort to characterize the geometry of a drone, using feeds from fixed video cameras. Preliminary results indicate that it is feasible to identify the general geometry of the drone – such as if it is a quadcopter or otherwise.

Citation Download Citation

Srikanth Gururajan and Matthew Dreyer "Characterization of unmanned aerial systems (UAS) geometry using feeds from fixed video cameras", Proc. SPIE 11398, Geospatial Informatics X, 1139806 (20 May 2020); https://doi.org/10.1117/12.2563782

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