Multi-Sensor Life Detection Synergy Platform Design

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Abstract:

Life detection based on a single type of information sources detection technology cannot completely meet the needs of the earthquake relief. The existing life detection techniques are include of acoustic wave life detection, optical life detection and radar life detection. The advantages and existing problems of the three life detection techniques are analyzed. The advantages and present situation of multi-sensor detection synergy technique are given . We explained the platform structure , multi-sensor selection strategy, and information fusion model. Finally, the development direction of life detection technique based on multi-sensor synergy is forecasted. This platform mainly realizes the infrared image and acoustic wave synchronization collection, analysis and processing of both audio life detection and video detection function, make up for the deficiency of the single sensor life detector, can get a more comprehensive and more accurate information about the scene of rescue and living organisms, is more suitable for complex quake rescue environment.

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520-525

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Q.J. Zhao, S.F. Chen: Multi-source information fusion method based on texture analysis. Information and Control. Vol. 36(2007), pp.160-164.

Google Scholar

[2] S. Maskell: A Bayesian approach to fusing uncertain, imprecise and conflicting information. Information Fusion. Vol. 9(2008), pp.259-277.

DOI: 10.1016/j.inffus.2007.02.003

Google Scholar

[3] K.M. Chen and D.K. Misra: An X-band microwave life detection system. Presented at the 6th Annu. Meet. Bioelectromagn. Soc. Atlanta, GA, (1984).

Google Scholar

[4] C. B. Wang, Y. Guo, J. Wang: Analysis of victim location sustem signal in earthquake disaster based on acoustic and seismic wave detection. Chinese Journal of Engineering Geophysics. Vol. 2(2005), pp.79-83.

Google Scholar

[5] J. Shen: Miniature sound waves life detection system for post-disaster relief . Chengdu: Chengdu University of Technology Chengdu Institute of Technology, (2008).

Google Scholar

[6] J. Han, C. Nguyen: Development of a tunable multiband UWB radar sensor and its applications to subsurface sensing. IEEE Sensors Journal, Vol. 1(2007), pp.51-58.

DOI: 10.1109/jsen.2006.888585

Google Scholar

[7] B. Lehman, O. Boric Lubecke, V.M. Lubecke, et a1: A digital signal processor for Doppler sensing of vital signs. Washington DC: Storming Media (2001).

DOI: 10.21236/ada412597

Google Scholar

[8] K.P. Polly, K.D. Christopher: Test Bed Robot Development for Cooperation Clearance. International Journal of Robotics Research. Vol. 18 (1999), pp.753-755.

Google Scholar

[9] F. Smarandache, J. Dezert: Applications and Advances of DSmT for In-formation Fusion, Collected Works. American Research Press, Rehoboth. (2004).

Google Scholar

[10] F. Smarandache, J. Dezert: An Algorithm for Quasi-Associative and Quasi-Markovian Rules of Combination in Information Fusion. Available at http: /arxiv. org/pdf/cs. AI/0408021.

DOI: 10.2139/ssrn.2725507

Google Scholar