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Multisensor Data Fusion

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Intelligent Problem Solving. Methodologies and Approaches (IEA/AIE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

Extended Abstract

Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of data fusion has always been around. In fact, all of us employ multisensor data fusion principles in our daily lives. The human brain is an excellent example of an operational fusion system that performs extremely well. It integrates sensory information, namely sight, sound, smell, taste and touch data and makes inferences regarding the problem at hand. It has been a natural desire of researchers in different disciplines of science and engineering to emulate this information fusion ability of the human brain. The idea is that fusion of complementary information available from different sensors will yield more accurate results for information processing problems. Significant advances in this important field have been made but perfect emulation of the human brain remains an elusive goal.

Research sponsored by the US Space & Naval Warfare Systems Center under Grant N66001-99-1-8922.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Syracuse University, 121 Link Hall, Syracuse, NY, 13244, USA

    Pramod K. Varshney

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  1. Pramod K. Varshney
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Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Varshney, P.K. (2000). Multisensor Data Fusion. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_1

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  • DOI: https://doi.org/10.1007/3-540-45049-1_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

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