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Sensor node localisation using a stereo camera rig
Diamond, Dermot; O'Connor, Noel E.; Smeaton, Alan F.; Beirne, Stephen; Corcoran, Brian; Kelly, Philip; Lau, King-Tong
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.
Keyword(s): Detectors; Sensor Nodes; Localisation; Stereo
Publication Date:
2007
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Diamond, Dermot ORCID: 0000-0003-2944-4839 <https://orcid.org/0000-0003-2944-4839>, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135>, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389>, Beirne, Stephen, Corcoran, Brian, Kelly, Philip and Lau, King-Tong ORCID: 0000-0001-7818-7010 <https://orcid.org/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.
Publisher(s): Association for Computing Machinery
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/407/1/emnets_2007.pdf,
http://dx.doi.org/10.1145/1278972.1278983
First Indexed: 2009-11-05 02:00:39 Last Updated: 2019-02-09 07:03:28