Multisensor data fusion for fire detection

Zervas, E., Mpimpoudis, A., Anagnostopoulos, C., Sekkas, O. and Hadjiefthymiades, S. (2011) Multisensor data fusion for fire detection. Information Fusion, 12(3), pp. 150-159. (doi:10.1016/j.inffus.2009.12.006)

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Abstract

Fire is a common disastrous phenomenon that constitutes a serious threat. The SCIER (Sensor and Computing Infrastructure for Environmental Risks is partially funded by the European Community through the FP6 IST Program. The work presented in this paper expresses the ideas of the authors and not necessarily the whole SCIER consortium.) project envisages the deployment of Wireless Sensor Networks at the “Urban–Rural-Interface” (URI) aiming to the detection, monitoring and crisis management of such natural hazards. One of its primary objectives is the development of an advanced multisensor data fusion scheme which feeds a CUSUM sequential test used in the early detection of fires. Reasoning about the probability of fire in a geographical area covered by temperature, humidity and vision sensors is achieved through Evidential Reasoning (Dempster–Shafer theory).

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Zervas, E., Mpimpoudis, A., Anagnostopoulos, C., Sekkas, O., and Hadjiefthymiades, S.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Information Fusion
ISSN:1566-2535
ISSN (Online):1872-6305

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