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Proceedings Paper

Tracking and prediction of small unmanned aerial vehicles' flight behavior and three-dimensional flight path from laser gated viewing images
Author(s): Martin Laurenzis; Martin Rebert; Stéphane Schertzer; Frank Christnacher
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Paper Abstract

In the last decade, small and mirco unmanned aerial vehicles (MUAV) have become an increasing risk to security and safety in civilian and military scenarios. Further, countermeasures are hard to deploy due to the MUAV ability to operate with highly agile flight maneuver and the physical constrains due to very small cross-sections as well for RADAR as for LiDAR detection. The French-German Research Institute of Saint-Louis (ISL) is studying heterogeneous sensor networks for detection and identification of threats. Shortwave laser gated viewing is used to record images of the target and different image processing algorithms and filters are investigated to perform reliable tracking of MUAV flying in front of textured and clear sky backgrounds. Here, an analysis approach is presented to analyze the MUAV flight behavior and three-dimensional path from image data. Further, a prediction approach is presented to estimate the target position in near future.

Paper Details

Date Published: 2 May 2019
PDF: 12 pages
Proc. SPIE 11005, Laser Radar Technology and Applications XXIV, 110050D (2 May 2019); doi: 10.1117/12.2519273
Show Author Affiliations
Martin Laurenzis, French-German Research Institute of Saint-Louis (France)
Martin Rebert, French-German Research Institute of Saint-Louis (France)
Stéphane Schertzer, French-German Research Institute of Saint-Louis (France)
Frank Christnacher, French-German Research Institute of Saint-Louis (France)


Published in SPIE Proceedings Vol. 11005:
Laser Radar Technology and Applications XXIV
Monte D. Turner; Gary W. Kamerman, Editor(s)

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