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Sensor node localisation using a stereo camera rig

Diamond, Dermot orcid logoORCID: 0000-0003-2944-4839, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Beirne, Stephen, Corcoran, Brian, Kelly, Philip and Lau, King-Tong orcid logoORCID: 0000-0001-7818-7010 (2007) Sensor node localisation using a stereo camera rig. In: EmNets 2007 - The 4th Workshop on Embedded Networked Sensors, 25-26 June 2007, Cork, Ireland.

Abstract
In this paper, we use stereo vision processing techniques to detect and localise sensors used for monitoring simulated environmental events within an experimental sensor network testbed. Our sensor nodes communicate to the camera through patterns emitted by light emitting diodes (LEDs). Ultimately, we envisage the use of very low-cost, low-power, compact microcontroller-based sensing nodes that employ LED communication rather than power hungry RF to transmit data that is gathered via existing CCTV infrastructure. To facilitate our research, we have constructed a controlled environment where nodes and cameras can be deployed and potentially hazardous chemical or physical plumes can be introduced to simulate environmental pollution events in a controlled manner. In this paper we show how 3D spatial localisation of sensors becomes a straightforward task when a stereo camera rig is used rather than a more usual 2D CCTV camera.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Sensor Nodes; Localisation; Stereo;
Subjects:Physical Sciences > Detectors
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/1278972.1278983
Copyright Information:© ACM, 2007. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Funders:Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:407
Deposited On:02 Apr 2008 by DORAS Administrator . Last Modified 18 Sep 2018 13:28
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