Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers
| Autor: | Holger Voos, Changhong Fu, Arun Annaiyan, Maciej Zurad, Somasundar Kannan, Miguel A. Olivares-Mendez, Philippe Ludivig, Pascual Campoy, Tegawendé F. Bissyandé |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
0209 industrial biotechnology
Engineering vision-based control Emerging technologies Wildlife Context (language use) 02 engineering and technology lcsh:Chemical technology Computer security computer.software_genre Biochemistry Article computer vision Analytical Chemistry autonomous landing 020901 industrial engineering & automation face detection 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Animal species Aerospace & aeronautics engineering [C01] [Engineering computing & technology] Instrumentation animal tracking Vision based business.industry Poaching unmanned aerial vehicles object following autonomous navigation anti-poaching 15. Life on land Natural resource Atomic and Molecular Physics and Optics Work (electrical) 020201 artificial intelligence & image processing Telecommunications business Ingénierie aérospatiale [C01] [Ingénierie informatique & technologie] computer |
| Zdroj: | Sensors; Volume 15; Issue 12; Pages: 31362-31391 Sensors, 15(12), 29861. (2015). Sensors Volume 15 Issue 12 Pages 31362-31391 Digital.CSIC. Repositorio Institucional del CSIC instname BASE-Bielefeld Academic Search Engine Sensors, Vol 15, Iss 12, Pp 31362-31391 (2015) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s151229861 |
| Popis: | 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 $213 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. |
| Databáze: | OpenAIRE |
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