Virtual space boxes and drone-as-reference-station localisation for drone services: an approach based on signal strengths

Loke, Seng W, Alwateer, Majed and Abeysinghe Achchige Don, Venura SA 2016, Virtual space boxes and drone-as-reference-station localisation for drone services: an approach based on signal strengths, in DroNet 2016 : Proceedings of the 2nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, Association for Computing Machinery, New York, N.Y., pp. 45-48, doi: 10.1145/2935620.2935627.

Attached Files
Name Description MIMEType Size Downloads

Title Virtual space boxes and drone-as-reference-station localisation for drone services: an approach based on signal strengths
Author(s) Loke, Seng WORCID iD for Loke, Seng W orcid.org/0000-0001-9568-5230
Alwateer, Majed
Abeysinghe Achchige Don, Venura SA
Conference name ACM Special Interest Group on Mobility of Systems, Users, Data, and Computing. Conference (2nd : 2016 : Singapore)
Conference location Singapore
Conference dates 2016/06/26 - 2016/06/26
Title of proceedings DroNet 2016 : Proceedings of the 2nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use
Editor(s) [Unknown]
Publication date 2016
Series ACM Special Interest Group on Mobility of Systems, Users, Data, and Computing Conference
Start page 45
End page 48
Total pages 4
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) drone services
virtual boxes
localisation
positioning
drones
unmanned aerial vehicles (UAVs)
ISBN 9781450344050
Language eng
DOI 10.1145/2935620.2935627
HERDC Research category E2.1 Full written paper - non-refereed / Abstract reviewed
ERA Research output type E Conference publication
Copyright notice ©2016, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103543

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 55 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 13 Nov 2017, 18:39:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.