Reference : Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/10993/24563
Towards an Autonomous Vision-Based Unmanned Aerial System against Wildlife Poachers
English
Olivares Mendez, Miguel Angel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Fu, Changhong [Technical University of Madrid (UPM) > Computer Vision Group]
Ludivig, Philippe [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Bissyande, Tegawendé François D Assise mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Kannan, Somasundar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Zurad, Maciej mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Annaiyan, Arun mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Campoy, Pascual [Technical University of Madrid (UPM) > Computer Vision Group]
12-Dec-2015
Sensors
15
12
UAV Sensors for Environmental Monitoring
29861
Yes (verified by ORBilu)
International
1424-8220
[en] unmanned aerial vehicles ; computer vision ; animal tracking ; face detection ; vision-based control ; object following ; autonomous navigation ; autonomous landing ; anti-poaching
[en] 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.
http://hdl.handle.net/10993/24563
10.3390/s151229861
http://www.mdpi.com/1424-8220/15/12/29861

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AntiPoaching_Olivares_sensors-15.pdfalso available at http://www.mdpi.com/1424-8220/15/12/29861Publisher postprint6.41 MBView/Open

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