TY - GEN
T1 - Use of A UAV Base Station for Searching and Bio-inspired Covert Video Surveillance of Tagged Wild Animals
AU - Li, Xiaohui
AU - Huang, Hailong
AU - Savkin, Andrey V.
N1 - Funding Information:
This work was supported by the Australian Research Council. Also, this work received funding from the Australian Government, via grant AUSMURIB000001 associated with ONR MURI grant N00014-19-1-2571.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - Small tagging devices are enabling scientists to track targeted wild animals, such as migrant birds. In this paper, we introduce a prototype solution for searching and covert video surveillance of tagged wild animals based on an unmanned aerial vehicle (UAV) mounted base station (BS). We first present the concept design of a novel UAV-BS with a motion-controlled directional antenna for searching tagged wild animals in the 3-dimensional (3D) space. To reduce the disturbance of UAV to tagged wild animals, we further propose a bio-inspired motion camouflage UAV navigation algorithm for covert video surveillance of wild animals. Computer simulations show the effectiveness of the proposed method. This is the first paper on covert video surveillance of wild animals using UAVs.
AB - Small tagging devices are enabling scientists to track targeted wild animals, such as migrant birds. In this paper, we introduce a prototype solution for searching and covert video surveillance of tagged wild animals based on an unmanned aerial vehicle (UAV) mounted base station (BS). We first present the concept design of a novel UAV-BS with a motion-controlled directional antenna for searching tagged wild animals in the 3-dimensional (3D) space. To reduce the disturbance of UAV to tagged wild animals, we further propose a bio-inspired motion camouflage UAV navigation algorithm for covert video surveillance of wild animals. Computer simulations show the effectiveness of the proposed method. This is the first paper on covert video surveillance of wild animals using UAVs.
UR - http://www.scopus.com/inward/record.url?scp=85100513321&partnerID=8YFLogxK
U2 - 10.1109/ANZCC50923.2020.9318344
DO - 10.1109/ANZCC50923.2020.9318344
M3 - Conference article published in proceeding or book
SP - 87
EP - 90
BT - 2020 Australian and New Zealand Control Conference (ANZCC)
ER -