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The Scientific World Journal
Volume 2014, Article ID 280478, 12 pages
http://dx.doi.org/10.1155/2014/280478
Research Article

Particle Filtering for Obstacle Tracking in UAS Sense and Avoid Applications

University of Naples “Federico II”, I80125 Naples, Italy

Received 16 January 2014; Revised 13 June 2014; Accepted 13 June 2014; Published 1 July 2014

Academic Editor: Liang Lin

Copyright © 2014 Anna Elena Tirri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Anna Elena Tirri, Giancarmine Fasano, Domenico Accardo, and Antonio Moccia, “Particle Filtering for Obstacle Tracking in UAS Sense and Avoid Applications,” The Scientific World Journal, vol. 2014, Article ID 280478, 12 pages, 2014. https://doi.org/10.1155/2014/280478.