Advances in Unmanned Aerial Vehicles

State of the Art and the Road to Autonomy

  • Kimon P. Valavanis

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Background Information

    1. Front Matter
      Pages 1-1
    2. K. P. Valavanis
      Pages 3-13
    3. K. P. Valavanis, M. Kontitsis
      Pages 15-46
  3. Modeling and Control Fundamentals

    1. Front Matter
      Pages 47-47
    2. I. A. Raptis, K. P. Valavanis
      Pages 49-72
    3. M. Castillo-Effen, C. Castillo, W. Moreno, K. P. Valavanis
      Pages 73-118
    4. W. Alvis, C. Castillo, M. Castillo-Effen, W. Moreno, K. P. Valavanis
      Pages 119-170
    5. S. Bouabdallah, R. Siegwart
      Pages 171-210
  4. Navigation Aspects

    1. Front Matter
      Pages 211-211
    2. S. Griffiths, J. Saunders, A. Curtis, B. Barber, T. McLain, R. Beard
      Pages 213-244
    3. B. Ludington, E. N. Johnson, G. J. Vachtsevanos
      Pages 245-266
    4. L. Merino, F. Caballero, P. Forssen, J. Wiklund, J. Ferruz, J. R. Martihez-de-Dios et al.
      Pages 267-307
    5. I. K. Nikolos, N. C. Tsourveloudis, K. P. Valavanis
      Pages 309-340
  5. Applications

About this book

Introduction

Unmanned Aerial Vehicles (UAVs) have seen unprecedented levels of growth in military and civilian application domains. Fixed-wing aircraft, heavier or lighter than air, rotary-wing (rotorcraft, helicopters), vertical take-off and landing (VTOL) unmanned vehicles are being increasingly used in military and civilian domains for surveillance, reconnaissance, mapping, cartography, border patrol, inspection, homeland security, search and rescue, fire detection, agricultural imaging, traffic monitoring, to name just a few application domains. When initially introduced during World War I, UAVs were criticized heavily as being unreliable and inaccurate, and only a handful of people recognized at that early stage their potential and (future) impact on cha- ing the battlefield. To nobody’s surprise, about a century later, the total market for UAVs will reach within a few years more than $16 billion, with the US Depa- ment of Defense (DOD) being the champion in funding initiatives, - search and development, as well as procurement. Europe, as a continent, is a very distant second player, expected to spend about €2 billion in research and development, and procurement.

Keywords

Quad Tracking algorithms autonom complexity evolution evolutionary algorithm linearity modeling navigation sensing sensor uncertainty unmanned aerial vehicle

Editors and affiliations

  • Kimon P. Valavanis
    • 1
  1. 1.University of South FloridaTampaFlorida

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-6114-1
  • Copyright Information Springer 2007
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-1-4020-6113-4
  • Online ISBN 978-1-4020-6114-1
  • About this book
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