Adelaide Research & Scholarship
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http://hdl.handle.net/2440/121570| Citations | ||
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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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