Unmanned Aerial Vehicles, Integration at Very Low Level

Viguria, Antidio

doi:10.1007/978-3-642-41610-1_82-1

Antidio Viguria⁴

240 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

FAA Forecast (2016) Fiscal Years 2016–2036. Federal Aviation Administration. https://www.faa.gov/data_research/aviation/aerospace_forecasts/media/fy2016-36_faa_aerospace_forecast.pdf
Franke JL, Zaychik V, Spura TM, Alves EE (2005) Inverting the operator/vehicle ratio: approaches to next generation UAV command and control. In Proceedings of AUVSI Unmanned Systems North America, 2005
Google Scholar
Garcia M, Viguria A, Ollero A (2013) Dynamic graph-search algorithm for global path planning in presence of hazardous weather. J Intell Robot Syst 69(1–4):285–295
Google Scholar
Lin Y, Saripalli S (2015, May) Sense and avoid for Unmanned Aerial Vehicles using ADS-B. In 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, pp 6402–6407
Google Scholar
Maza I, Caballero F, Capitán J, Martínez-de-Dios JR, Ollero A (2011) Experimental results in multi-UAV coordination for disaster management and civil security applications. J Intell Robot Syst 61(1–4):563–585
Article Google Scholar
Sapkota KR, Roelofsen S, Rozantsev A, Lepetit V, Gillet D, Fua P, Martinoli A (2016, October) Vision-based unmanned aerial vehicle detection and tracking for sense and avoid systems. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, pp 1556–1561
Google Scholar
SESAR JU (2016) European drones outlook study. Unlocking the value for Europe. https://www.sesarju.eu/sites/default/files/documents/reports/European_Drones_Outlook_Study_2016.pdf
SESAR JU (2017) U-space Blueprint. SESAR Joint Undertaking. Accessed 18 Sept. https://www.sesarju.eu/sites/default/files/documents/reports/U-space%20Blueprint%20brochure%20final.PDF
Tisdale J, Kim Z, Hedrick JK (2009) Autonomous UAV path planning and estimation. IEEE Robot Automat Mag 16(2):35–42
Article Google Scholar

Download references

Author information

Authors and Affiliations

Advanced Center for Aerospace Technologies (CATEC), La Rinconada (Seville), Spain
Antidio Viguria

Authors

Antidio Viguria
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antidio Viguria .

Editor information

Editors and Affiliations

Dept. of Mechanical Engineering Blk 1E Gillman Hts #17-43, National University of Singapore, Singapore, Singapore
Marcelo H Ang
Department of Computer Science, Stanford University, Stanford, CA, USA
Oussama Khatib
Dipto di Informatica e Sistemistca, Univ di Napoli Federico II, Napoli, Italy
Bruno Siciliano

Section Editor information

GRVC Robotics Labs. Sevilla, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain
Aníbal Ollero

Rights and permissions

Reprints and permissions

Copyright information

About this entry

Cite this entry

Viguria, A. (2020). Unmanned Aerial Vehicles, Integration at Very Low Level. In: Ang, M., Khatib, O., Siciliano, B. (eds) Encyclopedia of Robotics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41610-1_82-1

Download citation

DOI: https://doi.org/10.1007/978-3-642-41610-1_82-1
Received: 26 July 2019
Accepted: 03 January 2020
Published: 21 May 2020
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41610-1
Online ISBN: 978-3-642-41610-1
eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

Publish with us

Policies and ethics