Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

This is an Open Access publication published under CSC-OpenAccess Policy.
Publications from CSC-OpenAccess Library are being accessed from over 158 countries worldwide.
Unmanned Aerial Vehicle: Review of Onboard Sensors, Application Fields, Open Problems and Research Issues
Aymen Arfaoui
Pages - 12 - 24     |    Revised - 31-01-2017     |    Published - 28-02-2017
Volume - 11   Issue - 1    |    Publication Date - February 2017  Table of Contents
Unmanned Aerial Vehicles, Drone, Photogrammetry, Remote Sensing, Aerial Images.
Small Unmanned Aerial Vehicle (sUAV) platforms are becoming a potential source of data for many applications thanks to their onboard sensors. They can also provide more technical, environmental and economical advantages compared to classical manned aerial vehicle. This paper reports the state of the art of sUAV platforms and onboard sensors. It reviews their application fields, their open problems and their research issues.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 BibSonomy 
5 ResearchGate 
6 Doc Player 
7 Scribd 
8 Scoop It 
9 Mafiadoc 
10 SlideShare 
11 PdfSR 
1 U. MoD, "Joint Doctrine Note 2/11 the UK Approach to Unmanned Aircraft Systems," in UK MoD The Development, Concepts and Doctrine Centre, SWINDON, Wiltshire (2011).
2 A. Mouget, and G. Lucet, "Photogrammetric archaeological survey with UAV," ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2(5), 251 (2014).
3 J. Courbon et al., "Visual navigation of a quadrotor aerial vehicle," 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems 5315-5320 (2009).
4 L.-J. Ferrato, and K. W. Forsythe, "Comparing hyperspectral and multispectral imagery for land classification of the Lower Don River, Toronto," Journal of Geography and Geology 5(1), 92 (2013).
5 J. Torres-Sánchez et al., "High-throughput 3-D monitoring of agricultural-tree plantations with unmanned aerial vehicle (UAV) technology," PloS one 10(6), e0130479 (2015).
6 N. Poirier, F. Hautefeuille, and C. Calastrenc, "Low altitude thermal survey by means of an automated unmanned aerial vehicle for the detection of archaeological buried structures," Archaeological Prospection 20(4), 303-307 (2013).
7 J. Allen, and B. Walsh, "Enhanced oil spill surveillance, detection and monitoring through the applied technology of unmanned air systems," International oil spill conference 113-120 (2008).
8 L. Wallace et al., "Development of a UAV-LiDAR system with application to forest inventory," Remote Sensing 4(6), 1519-1543 (2012).
9 J. Han et al., "Low-cost multi-UAV technologies for contour mapping of nuclear radiation field," Journal of Intelligent & Robotic Systems 70(1-4), 401-410 (2013).
10 J. Gertler, "US unmanned aerial systems," (2012).
11 J. M. Grasmeyer, and M. T. Keennon, "Development of the black widow micro air vehicle," Progress in Astronautics and aeronautics 195(519-535 (2001).
12 M. R. S. U. Small, "AggieAir: Towards low-cost cooperative multispectral remote sensing using small unmanned aircraft systems," (2009).
13 S.-B. Duan et al., "Land surface reflectance retrieval from hyperspectral data collected by an unmanned aerial vehicle over the Baotou test site," PloS one 8(6), e66972 (2013).
14 D. Turner, A. Lucieer, and C. Watson, "Development of an Unmanned Aerial Vehicle (UAV) for hyper resolution vineyard mapping based on visible, multispectral, and thermal imagery," Proceedings of 34th International symposium on remote sensing of environment 4 (2011).
15 L. Johnson et al., "Collection of ultra high spatial and spectral resolution image data over California vineyards with a small UAV," Proceedings of the 30th International Symposium on Remote Sensing of Environment (2003).
16 G. Bland et al., "Mini UAVs for Atmospheric Measurements," 2007 AIAA InfoTech at Aerospace Conference, AIAA-2007-2759 461-470 (2007).
17 Y. Lin, J. Hyyppa, and A. Jaakkola, "Mini-UAV-borne LIDAR for fine-scale mapping," IEEE Geoscience and Remote Sensing Letters 8(3), 426-430 (2011).
18 L. Wallace, A. Lucieer, and C. Watson, "Assessing the feasibility of UAV-based LiDAR for high resolution forest change detection," Proc. ISPRS, Int. Archives Photogramm., Remote Sens. Spatial Inf. Sci 38(B7 (2012).
19 A. Irschara et al., Towards fully automatic photogrammetric reconstruction using digital images taken from UAVs, na (2010).
20 S. Tuominen et al., "Unmanned aerial system imagery and photogrammetric canopy height data in area-based estimation of forest variables," (2015).
21 M. Quigley et al., "Target acquisition, localization, and surveillance using a fixed-wing mini-UAV and gimbaled camera," Proceedings of the 2005 IEEE international conference on robotics and automation 2600-2605 (2005).
22 D. W. Casbeer et al., "Cooperative forest fire surveillance using a team of small unmanned air vehicles," International Journal of Systems Science 37(6), 351-360 (2006).
23 W. M. DeBusk, "Unmanned aerial vehicle systems for disaster relief: Tornado alley," AIAA Infotech@ Aerospace Conference, AIAA-2010-3506, Atlanta, GA (2010).
24 J. Irizarry, M. Gheisari, and B. N. Walker, "Usability assessment of drone technology as safety inspection tools," Journal of Information Technology in Construction 17(194-212 (2012).
25 A. J. Healey et al., "Collaborative unmanned systems for maritime and port security operations," DTIC Document (2007).
26 Y. Huang et al., "Airborne remote sensing assessment of the damage to cotton caused by spray drift from aerially applied glyphosate through spray deposition measurements," biosystems engineering 107(3), 212-220 (2010).
27 A. Horcher, and R. J. Visser, "Unmanned aerial vehicles: applications for natural resource management and monitoring," Proceedings of the Council on Forest Engineering Proceedings (2004).
28 S. Herwitz et al., "Demonstration of UAV-based imaging for agricultural surveillance and decision support," Computers and Electronics in Agriculture 44(49-61 (2004).
29 J. Miller, "Report on the development and operation of an UAV for an experiment on unmanned application of pesticides," AFRL, USAF (2005).
30 Q. He, C.-H. H. Chu, and A. Camargo, "Architectural Building Detection and Tracking in Video Sequences Taken by Unmanned Aircraft System (UAS)," Computer Technology and Application 3(9), (2012).
31 N. Metni, and T. Hamel, "A UAV for bridge inspection: Visual servoing control law with orientation limits," Automation in construction 17(1), 3-10 (2007).
32 A. Puri, "A survey of unmanned aerial vehicles (UAV) for traffic surveillance," Department of computer science and engineering, University of South Florida (2005).
33 D. Hausamann, W. Zirnig, and G. Schreier, "Monitoring of gas transmission pipelines-A customer driven civil UAV application," ODAS Conference (2003).
34 L. Ma, and Y. Chen, "Aerial surveillance system for overhead power line inspection," Center for Self-Organizing and Intelligent Systems (CSOIS), Utah State Univ., Logan, Tech. Rep. USU-CSOIS-TR-04-08 (September 2000) (2004).
35 C. Arthur, "Amazon seeks US permission to test Prime Air delivery drones," The Guardian 1(2014).
36 J. Pepitone, "Domino's tests drone pizza delivery," CNNMoney, June 4(2013).
37 N. Krombach, D. Droeschel, and S. Behnke, "Evaluation of Stereo Algorithms for Obstacle Detection with Fisheye Lenses," ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2(1), 33 (2015).
38 T. Mori, and S. Scherer, "First results in detecting and avoiding frontal obstacles from a monocular camera for micro unmanned aerial vehicles," Robotics and Automation (ICRA), 2013 IEEE International Conference on 1750-1757 (2013).
39 E. Hanna, P. Straznicky, and R. Goubran, "Obstacle detection for low flying unmanned aerial vehicles using stereoscopic imaging," Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE 113-118 (2008).
40 J. B. Saunders et al., "Static and dynamic obstacle avoidance in miniature air vehicles," AIAA Infotech@ Aerospace 96((2005).
41 R. Sabatini, A. Gardi, and M. Richardson, "LIDAR obstacle warning and avoidance system for unmanned aircraft," International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering 8(4), 718-729 (2014).
42 E. B. Carr, "Unmanned aerial vehicles: Examining the safety, security, privacy and regulatory issues of integration into US airspace," National Centre for Policy Analysis (NCPA). Retrieved on September 23(2014 (2013).
43 S. R. Winter et al., "Mission-based citizen views on UAV usage and privacy: an affective perspective," Journal of Unmanned Vehicle Systems 4(2), 125-135 (2016).
Dr. Aymen Arfaoui
Department of Geomatics Laval University Québec, G1V0A6, Canada - Canada