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Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers
Poaching is an illegal activity that remains out of control in many countries. Based on the 2014 report of the United Nations and Interpol, the illegal trade of global wildlife and natural resources amounts to nearly [Formula: see text] billion every year, which is even helping to fund armed conflic...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721781/ https://www.ncbi.nlm.nih.gov/pubmed/26703597 http://dx.doi.org/10.3390/s151229861 |
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author | Olivares-Mendez, Miguel A. Fu, Changhong Ludivig, Philippe Bissyandé, Tegawendé F. Kannan, Somasundar Zurad, Maciej Annaiyan, Arun Voos, Holger Campoy, Pascual |
author_facet | Olivares-Mendez, Miguel A. Fu, Changhong Ludivig, Philippe Bissyandé, Tegawendé F. Kannan, Somasundar Zurad, Maciej Annaiyan, Arun Voos, Holger Campoy, Pascual |
author_sort | Olivares-Mendez, Miguel A. |
collection | PubMed |
description | Poaching is an illegal activity that remains out of control in many countries. Based on the 2014 report of the United Nations and Interpol, the illegal trade of global wildlife and natural resources amounts to nearly [Formula: see text] billion every year, which is even helping to fund armed conflicts. Poaching activities around the world are further pushing many animal species on the brink of extinction. Unfortunately, the traditional methods to fight against poachers are not enough, hence the new demands for more efficient approaches. In this context, the use of new technologies on sensors and algorithms, as well as aerial platforms is crucial to face the high increase of poaching activities in the last few years. Our work is focused on the use of vision sensors on UAVs for the detection and tracking of animals and poachers, as well as the use of such sensors to control quadrotors during autonomous vehicle following and autonomous landing. |
format | Online Article Text |
id | pubmed-4721781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47217812016-01-26 Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers Olivares-Mendez, Miguel A. Fu, Changhong Ludivig, Philippe Bissyandé, Tegawendé F. Kannan, Somasundar Zurad, Maciej Annaiyan, Arun Voos, Holger Campoy, Pascual Sensors (Basel) Article Poaching is an illegal activity that remains out of control in many countries. Based on the 2014 report of the United Nations and Interpol, the illegal trade of global wildlife and natural resources amounts to nearly [Formula: see text] billion every year, which is even helping to fund armed conflicts. Poaching activities around the world are further pushing many animal species on the brink of extinction. Unfortunately, the traditional methods to fight against poachers are not enough, hence the new demands for more efficient approaches. In this context, the use of new technologies on sensors and algorithms, as well as aerial platforms is crucial to face the high increase of poaching activities in the last few years. Our work is focused on the use of vision sensors on UAVs for the detection and tracking of animals and poachers, as well as the use of such sensors to control quadrotors during autonomous vehicle following and autonomous landing. MDPI 2015-12-12 /pmc/articles/PMC4721781/ /pubmed/26703597 http://dx.doi.org/10.3390/s151229861 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Olivares-Mendez, Miguel A. Fu, Changhong Ludivig, Philippe Bissyandé, Tegawendé F. Kannan, Somasundar Zurad, Maciej Annaiyan, Arun Voos, Holger Campoy, Pascual Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers |
title | Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers |
title_full | Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers |
title_fullStr | Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers |
title_full_unstemmed | Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers |
title_short | Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers |
title_sort | towards an autonomous vision-based unmanned aerial system against wildlife poachers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721781/ https://www.ncbi.nlm.nih.gov/pubmed/26703597 http://dx.doi.org/10.3390/s151229861 |
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