Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/121570
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Type: Conference paper
Title: Demo abstract: Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife
Other Titles: Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife
Author: Van Nguyen, H.
Chesser, M.
Chen, F.
Rezatofighi, S.H.
Ranasinghe, D.C.
Citation: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, 2018 / pp.333-334
Publisher: Association for Computing Machinery
Issue Date: 2018
ISBN: 9781450359528
Conference Name: ACM Conference on Embedded Networked Sensor Systems (SENSYS) (04 Nov 2018 - 07 Nov 2018 : Shenzhen, China)
Statement of
Responsibility: 
Hoa Van Nguyen, Michael Chesser, Fei Chen, S. Hamid Rezatofighi, and Damith C. Ranasinghe
Abstract: We consider the problem of tracking and localizing radio-tagged targets, a labor-intensive and time-consuming task necessary for wildlife conservation fieldwork. We design a lightweight sensor system for measurement of radio signal strength information from multiple radio tags. The sensor system is designed to suit low-cost, versatile, easy to operate multi-rotor UAVs. In this demo paper, we demonstrate our Unmanned Aerial Vehicle (UAV) sensor system for tracking and locating multiple VHF radio tags.
Keywords: UAV; localization; search; radio-tag; wildlife
Rights: © 2018 Association for Computing Machinery.
RMID: 0030109772
DOI: 10.1145/3274783.3275169
Grant ID: http://purl.org/au-research/grants/arc/LP160101177
Appears in Collections:Computer Science publications

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