Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, U.S.A. June 8–10, 2009

  • Kimon P. Valavanis
  • Randal Beard
  • Paul Oh
  • Aníbal Ollero
  • Leslie A. Piegl
  • Hyunchui Shim

Table of contents

  1. Front Matter
    Pages i-vi
  2. Kimon P. Valavanis
    Pages 1-7
  3. Jinhyun Kim, Min-Sung Kang, Sangdeok Park
    Pages 9-26
  4. Dario Schafroth, Christian Bermes, Samir Bouabdallah, Roland Siegwart
    Pages 27-47
  5. E. Rondon, S. Salazar, J. Escareno, R. Lozano
    Pages 49-64
  6. Armando Alves Neto, Douglas G. Macharet, Mario F. M. Campos
    Pages 123-141
  7. Michail Kontitsis, Kimon Valavanis
    Pages 171-191
  8. Ryan S. Holt, Randal W. Beard
    Pages 193-216
  9. Sungsik Huh, David Hyunchul Shim
    Pages 217-231
  10. A. Cesetti, E. Frontoni, A. Mancini, P. Zingaretti, S. Longhi
    Pages 233-257
  11. Franz Andert, Florian-M. Adolf, Lukas Goormann, Jörg S. Dittrich
    Pages 259-280
  12. Keith W. Sevcik, Noah Kuntz, Paul Y. Oh
    Pages 281-295
  13. Pillar Eng, Luis Mejias, Xi Liu, Rodney Walker
    Pages 329-349
  14. Konstantinos Dalamagkidis, Kimon P. Valavanis, Les A. Piegl
    Pages 351-369
  15. I. Maza, F. Caballero, R. Molina, N. Peña, A. Ollero
    Pages 371-391

About this book

Introduction

This book contains peer reviewed paper reprints from the 2nd International Symposium on Unmanned Aerial Vehicles, June 2009. It covers the latest advances in Unmanned Aircraft Systems (UAS) Modeling, Control and Identification; UAS Navigation, Path Planning and Tracking; UAS Vision and Vision-Based Systems; UAS Landing and Forced Landing; Simulation Platforms and Testbeds; and UAS Applications.

The volume brings together the latest research findings from the rapidly evolving and expanding area of UAS, along with current technical challenges and future needs that need be overcome in order to utilize fully unmanned aviation in civilian/public domain applications.

This work is suitable for the researcher and scientist, the practitioner, the novice and the UAV user. It may also serve as a reference text for graduate level special topic courses in UAVs.

Also published in the Journal of Intelligent and Robotic Systems, Volume 57, Issues 1-4, 2010.

Keywords

Model Predictive Control microcontroller model modeling simulation system system identification

Editors and affiliations

  • Kimon P. Valavanis
    • 1
  • Randal Beard
    • 2
  • Paul Oh
    • 3
  • Aníbal Ollero
    • 4
  • Leslie A. Piegl
    • 5
  • Hyunchui Shim
    • 6
  1. 1.Department of Electrical and Computer Engineering, CMK 300 School of Engineering and Computer ScienceUniversity of DenverDenverUSA
  2. 2.Dept. Electrical & Computer EngineeringBrigham Young UniversityProvoUSA
  3. 3.Applied Engineering Technology ProgramDrexel UniversityPhiladelphiaUSA
  4. 4.Depto. Ingeniera Sistemas y Automática Camino de los DescubrimientosUniversidad de Sevilla Escuela Superior de IngenierosSevillaSpain
  5. 5.Dept. Computer Science & EngineeringUniversity of South FloridaTampaUSA
  6. 6.Korea Advanced Institute of Science & Technology (KAIST)Department of Aerospace EngineeringRepublic of South Korea

Bibliographic information

  • DOI https://doi.org/10.1007/978-90-481-8764-5
  • Copyright Information Springer Science+Business Media B.V. 2010
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-90-481-8763-8
  • Online ISBN 978-90-481-8764-5
  • About this book
Industry Sectors
Automotive
Chemical Manufacturing
Electronics
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering