Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Sensor node localisation using a stereo camera rig

Diamond, Dermot and O'Connor, Noel E. and Smeaton, Alan F. and Beirne, Stephen and Corcoran, Brian and Kelly, Philip and Lau, King-Tong (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.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
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:
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 01 Feb 2017 13:53

Download statistics

Archive Staff Only: edit this record