CFP last date
20 January 2025
Reseach Article

Eyes in the Sky: A Review of Civilian Unmanned Aerial Vehicles (UAVs)

by Ronnel R. Atole, Leo Constantine S. Bello, John Rey S. Lirag
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 173 - Number 6
Year of Publication: 2017
Authors: Ronnel R. Atole, Leo Constantine S. Bello, John Rey S. Lirag
10.5120/ijca2017915349

Ronnel R. Atole, Leo Constantine S. Bello, John Rey S. Lirag . Eyes in the Sky: A Review of Civilian Unmanned Aerial Vehicles (UAVs). International Journal of Computer Applications. 173, 6 ( Sep 2017), 36-41. DOI=10.5120/ijca2017915349

@article{ 10.5120/ijca2017915349,
author = { Ronnel R. Atole, Leo Constantine S. Bello, John Rey S. Lirag },
title = { Eyes in the Sky: A Review of Civilian Unmanned Aerial Vehicles (UAVs) },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 173 },
number = { 6 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume173/number6/28343-2017915349/ },
doi = { 10.5120/ijca2017915349 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:35.689610+05:30
%A Ronnel R. Atole
%A Leo Constantine S. Bello
%A John Rey S. Lirag
%T Eyes in the Sky: A Review of Civilian Unmanned Aerial Vehicles (UAVs)
%J International Journal of Computer Applications
%@ 0975-8887
%V 173
%N 6
%P 36-41
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents results of an exhaustive survey of commercially-applied drones or unmanned aerial vehicles (UAVs) including a review of their applications, features, characteristics, and other information through a wealth of secondary data, particularly online records and documents consulted along with key-informant interviews. A simple descriptive-quantitative method was applied to treat the data. It was found that UAVs are now used in such areas as Agriculture, Real Estate, Film and TV, Oil and Gas, Construction, Fisheries, Wildlife Surveillance, Water Management and Security. Out of 30 sample applications documented, 23.33% are dedicated in providing support to public/civilian security. Agriculture, Photography and Wildlife Surveillance rank next with 16.67%. Three (3) or 10% were used in Real Estates; two (2) or 6.67% were for Fisheries; and one (1) or 3.33% were used each for Oil and Gas, Construction and Water Management. Fixed-winged UAVs are used for surveying and capturing wider range of imagery while multi-rotors are used to taking close and contained objects and locations here there is need for greater maneuverability on capturing images. The ScanEagle drone developed by Boeing is the most expensive costing $500,000. It has a fixed-wing design, launched through a catapult, and has a range of 100 kilometers. It can fly at 69 miles per hour at an altitude of 19,500 feet for 24 hours carrying a load of up to 48.5 pounds.

References
  1. Vermeulen, C., Philippe Lejeune, Jonathan Lisein, Prosper Sawadogo, and Philippe Bouché. Unmanned Aerial Survey of Elephants. PLOS One. [Online] February 6, 2013. http://journals.plos.org/plosone/ article?id=10.1371/journal.pone.0054700.
  2. Watts, Adam C., Ambrosia, Vincent G. and Hinkley, Everett A. Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use. Remote Sensing. [Online] June 8, 2012. http://www.mdpi.com/2072-4292/4/6/1671/htm.
  3. P.G. Martin, O.D. Payton, J.S. Fardoulis, D.A. Richards, and T.B. Scott. The Use of Unmanned Aerial Systems for the Mapping of Legacy Uranium Mines. ScienceDirect. [Online] May 2015. http://www.sciencedirect.com/science/article/pii/S0265931X15000314
  4. Rodríguez, A., Juan J. Negro, Mara Mulero, Carlos Rodríguez, Jesús Hernández-Pliego, and Javier Bustamante. The Eye in the Sky: Combined Use of Unmanned Aerial Systems and GPS Data Loggers for Ecological Research and Conservation of Small Birds. PLOS One. [Online] December 11, 2012. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519840/
  5. Kanistras, Konstantinos, et al. A survey of unmanned aerial vehicles (UAVs) for traffic monitoring. ResearchGate. [Online] January 2013. https://www.researchgate.net/publication/261429546_A_survey_of_unmanned_aerial_vehicles_UAVs_for_traffic_monitoring.
  6. Governing the States and Localities. Law Enforcement Agencies Using Drones List, Map. Governing. [Online] February 15, 2016. http://www.governing.com/gov-data/safety-justice/drones-state-local-law-enforcement-agencies-license-list.html.Brown, L. D., Hua, H., and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  7. Gao, Jiaojiao, Yan, Yusen and Wang, Chengbiao. Research on the Application of UAV Remote Sensing in Geologic Hazards Investigation for Oil and Gas Pipelines. American Society of Civil Engineers Library. [Online] 2011. http://ascelibrary.org/doi/abs/10.1061/ 41202(423)44. Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender
  8. Barnard, Joseph. Use of Unmanned Air Vehicles in Oil, Gas and Mineral. Barnard Microsystems. [Online] August 26, 2010. http://www.barnardmicrosystems.com/ media/presentations/BML_AUVSI_2010.pdf.
  9. Hodgson, A., Kelly, Natalie and Peel, David. Unmanned Aerial Vehicles (UAVs) for Surveying Marine: Fauna: A Dugong Case Study. PLUS One. [Online] November 4, 2013. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC 3817127/pdf/pone.0079556.pdf.
  10. Ahilan, T., Aswin Adityan, V. and Kailash, S. Efficient Utilization of Unmanned Aerial Vehicle (UAV) for Fishing through Surveillance for Fishermen. World Academy of Science, Engineering and Technology. [Online] 2015. http://waset.org/publications/10001857/ efficient-utilization-of-unmanned-aerial-vehicle-uav-for-fishing-through-surveillance-for-fishermen.
  11. Adam, Stuart M., Friedland, Carol J. and Levitan, Marc L. Unmanned Aerial Vehicle Data Acquisition for Damage Assessment in Hurricane Events. Department of Built Environment, Interdisciplinary Graduate School of Science and Technology, Tokyo Institute of Technology. [Online] 2010. http://www.enveng.titech.ac.jp/ midorikawa/rsdm2010_pdf/13_adams_paper.pdf.
  12. Adams, Stuart M. and Friedland, Carol J. A Survey of Unmanned Aerial Vehicle (UAV) Usage for Imagery Collection in Disaster Research and Management. Stanford Univeristy John A Blume Earthquake Engineering Center. [Online] 2011. https://blume.stanford.edu/sites/default/files/RS_Adams_Survey_paper_0.pdf.
  13. Lelong, Camille C. D., et al. Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots. Sensors. [Online] May 26, 2008. http://www.mdpi.com/1424-8220/8/5/3557/htm.
  14. Valente, João, et al. An Air-Ground Wireless Sensor Network for Crop Monitoring. Sensors. [Online] June 7, 2011. http://www.mdpi.com/1424-8220/11/6/6088/htm.
  15. Berni, Jose A. J., et al. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle. IEEE Xplore Digital Library. [Online] February 10, 2009. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4781575&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D4781575.
  16. Calderon, R., et al. Detection of downy mildew of opium poppy using high-resolution multi-spectral and thermal imagery acquired with an unmanned aerial vehicle. Springer Link. [Online] April 23, 2014. http://link.springer.com/article/10.1007/s11119-014-9360-y
Index Terms

Computer Science
Information Sciences

Keywords

Unmanned Aerial Vehicles UAV Drones