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Situation Identification by Unmanned Aerial Vehicle

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

An approach to a multi-facet task of situation identification by Unmanned Aerial Vehicle (UAV) is presented. The concept of multi-layered identi.cation system based on soft computing approach to reasoning with incomplete, imprecise or vague information is discussed.

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    H. S. Nguyen, A. Skowron & M. Szczuka

Authors
  1. H. S. Nguyen
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  2. A. Skowron
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  3. M. Szczuka
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Nguyen, H.S., Skowron, A., Szczuka, M. (2001). Situation Identification by Unmanned Aerial Vehicle. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_5

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  • DOI: https://doi.org/10.1007/3-540-45554-X_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

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