Multisensor data fusion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationIntelligent Problem Solving
Subtitle of host publicationMethodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, Proceedings
EditorsRasiah Logananthara, Moonis Ali, Gunther Palm
PublisherSpringer Verlag
Pages1-3
Number of pages3
ISBN (Print)3540676899, 9783540450498
DOIs
StatePublished - Jan 1 2000
Event13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 - New Orleans, United States
Duration: Jun 19 2000Jun 22 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1821
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000
CountryUnited States
CityNew Orleans
Period6/19/006/22/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Varshney, P. K. (2000). Multisensor data fusion. In R. Logananthara, M. Ali, & G. Palm (Eds.), Intelligent Problem Solving: Methodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, Proceedings (pp. 1-3). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1821). Springer Verlag. https://doi.org/10.1007/3-540-45049-1_1