This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
S. N. Ghazbi, Y. Aghli, M. Alimohammadi, A. A. Akbari, “Quadrotors Unmanned Aerial Vehicles: A Review”, International Journal on Smart Sensing & Intelligent Systems, Vol. 9, no. 1, March 2016, pp. 309-333.10.21307/ijssis-2017-872Search in Google Scholar
G. Pajares, “Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs)”, Photogrammetric Eng.& Remote Sensing, vol. 81, 2015, pp. 281-329.10.14358/PERS.81.4.281Search in Google Scholar
A. Rango et al., “Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management”, J. Appl. Remote Sensing, vol. 3, 2009, pp. 033542-033542-15.10.1117/1.3216822Search in Google Scholar
G. J. Grenzdörffer, A. Engel, B. Teichert, “The photogrammetric potential of low-cost UAVs in forestry and agriculture”, in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, vol. 31, 2008, pp. 1207-1214.Search in Google Scholar
A.E. Holton, S. Lawson, C. Love, “Unmanned Aerial Vehicles: Opportunities, barriers, and the future of drone journalism”, J. Journalism Practice, vol. 9, 2015, pp. 634-650.10.1080/17512786.2014.980596Search in Google Scholar
Y. Li, C. Chen, W. Chen, “Research on Longitudinal Control Algorithm for Flying Wing UAV Based on LQR Technology, International Journal on Smart Sensing & Intelligent Systems, Vol. 6, no. 5, December 2013, pp. 2155-2181.10.21307/ijssis-2017-632Search in Google Scholar
S. Kyristsis, A. Antonopoulos, T. Chanialakis, E. Stefanakis, C. Linardos, A. Tripolitsiotis, P. Partsinevelos, “Towards Autonomous Modular UAV Missions: The Detection, Geo-Location and Landing Paradigm”, Sensors, vol. 16, no. 11: 1844, 2016.Search in Google Scholar
G. Yu, H. Song. J. Gao, “Unmanned Aerial Vehicle Path Planning Based on TLBO Algorithm”, International Journal on Smart Sensing & Intelligent Systems, Vol. 7, no. 3, December 2014, pp. 1310-132510.21307/ijssis-2017-707Search in Google Scholar
J. Kang, Y. Kwon, K. Park, “Cooperative Spatial Retreat for Resilient Drone Networks”, Sensors, vol. 17, no. 5:1018, 2017.10.3390/s17051018546954128467390Search in Google Scholar
L. Sørensen, L. Jacobsen, J. Hansen, “Low Cost and Flexible UAV Deployment of Sensors”, Sensors, vol. 17, no. 1:154, 2017.10.3390/s17010154529872728098819Search in Google Scholar
E. M. Kwon, K. H. Yu, M. J. Yoon, G. Y. Jeong, G.Y, “Design considerations and modeling of a small and low altitude solar powered UAV”, in Proceedings of 11th International Conference on Control, Automation and Systems, Gyeonggi-do, South Korea, 2011, pp. 1085-1088.Search in Google Scholar
S. Sotheara, K. Aso, N. Aomi, S. Shimamoto, “Effective data gathering and energy efficient communication protocol in Wireless Sensor Networks employing UAV”, in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey, 6-9 April 2014, pp. 2342-2347.10.1109/WCNC.2014.6952715Search in Google Scholar
A. Di Nisio, T. Di Noia, C. Guarnieri Calò Carducci, M. Spadavecchia, “High dynamic range power consumption measurement in microcontroller-based applications”, IEEE Trans. Instr. Meas. no. 65, 2016, pp. 1968-1976.10.1109/TIM.2016.2549818Search in Google Scholar
G.P. Kladis, et al. “Energy conservation based fuzzy tracking for unmanned aerial vehicle missions under a priori known wind information”, Engineering Applications of Artificial Intelligence, vol. 24, 2011, pp. 278-294.10.1016/j.engappai.2010.10.013Search in Google Scholar
M. Jiang, T. Aoyama, T. Takaki, I. Ishii, “Pixel-Level and Robust Vibration Source Sensing in High-Frame-Rate Video Analysis”, Sensors vol. 16, no. 11:1842, 2016.10.3390/s16111842513450127827860Search in Google Scholar
L. E. Mavromatidis et al., “First experiments for the diagnosis and thermophysical sampling using impulse IR thermography from Unmanned Aerial Vehicle (UAV)”, in Proceedings of QIRT Conf., Bordeaux, France, July 2014, pp. 1-8.10.21611/qirt.2014.213Search in Google Scholar
M. Dalsass et al., “Correlation between the generated string powers of a photovoltaic: Power plant and module defects detected by aerial thermography”, in Proceedings of IEEE Photovoltaic Specialists Conference (PVSC), Portland, OR, 5-10 June 2016, pp. 3113-3118.10.1109/PVSC.2016.7750239Search in Google Scholar
G. Andria, A.M.L Lanzolla, F. Piccininni, G.S. Virk, G.S., “Design and characterization of solar-assisted heating plant in domestic houses”, IEEE Trans. Instr. Meas., vol. 57, 2008, pp. 2711-2719.10.1109/TIM.2008.926421Search in Google Scholar
F. Attivissimo, A. Di Nisio, C. Guarnieri Calò Carducci, M. Spadavecchia, “Fast thermal characterization of thermoelectric modules using infrared camera”, IEEE Trans. Instr. Meas., vol. 66, 2017, pp. 305-314.10.1109/TIM.2016.2631818Search in Google Scholar
H. Cruz, M. Eckert, J. Meneses, J. Martínez, “Efficient Forest Fire Detection Index for Application in Unmanned Aerial Systems (UASs)”, Sensors, vol. 16, no. 6:893, 2016.10.3390/s16060893493431927322264Search in Google Scholar
L. Evans, T. Jones, K. Pang, S. Saimin, B. Goossens, “Spatial Ecology of Estuarine Crocodile (Crocodylus porosus) Nesting in a Fragmented Landscape”, Sensors, vol. 16, no. 9: 1527, 2016.10.3390/s16091527503880027657065Search in Google Scholar
F. Adamo, F. Attivissimo, A. Di Nisio, M. Savino, “A low-cost inspection system for online defects assessment in satin glass”, Measurement: Journal of the International Measurement Confederation, vol. 42, 2009, pp. 1304-1311.10.1016/j.measurement.2009.05.006Search in Google Scholar
L. Hongguang, D. Wenrui, W. Yufeng, “Three-Step Registration and Multi-Thread Processing Based Image Mosaic for Unmanned Aerial Vehicle Applications”, International Journal on Smart Sensing & Intelligent Systems, Vol. 9, no. 2, June 2016, pp. 1090-110910.21307/ijssis-2017-909Search in Google Scholar
F. Adamo, F. Attivissimo, A. Di Nisio, M. Savino, “An online defects inspection system for satin glass based on machine vision”, in Proceedings of IEEE Intrumentation and Measurement Technology Conference, I2MTC, Singapore, 5-7 May 2009, pp. 288-293.10.1109/IMTC.2009.5168461Search in Google Scholar
K. Weber et al., “The use of an octocopter UAV for the determination of air pollutants– a case study of the traffic induced pollution plume around a river bridge in Duesseldorf, Germany”, International Journal of Environmental Science, vol. 2, 2017, pp 63-68.Search in Google Scholar
Y. Lu et al., “A UAV-mounted whole cell biosensor system for environmental monitoring applications”, IEEE transactions on nanobioscience, vol. 14, 2015, pp. 811-817.10.1109/TNB.2015.2478481488002426584498Search in Google Scholar
G. Andria, G. Cavone, V. Di Lecce, A.M.L. Lanzolla, “Model characterization in measurements of environmental pollutants via data correlation of sensor outputs”, IEEE Trans. Instr. Meas., vol. 54, 2005, pp. 1061-1066.10.1109/TIM.2005.847140Search in Google Scholar
V. Pelillo, L. Piper, A. Lay-Ekuakille, A. Lanzolla, G. Andria, R. Morello, “Geostatistical approach for validating contaminated soil measurements”, Measurement: Journal of the International Measurement Confederation, vol. 47, 2014, pp. 1016-1023.10.1016/j.measurement.2013.09.016Search in Google Scholar
F. Giordano, G. Mattei, C. Parente, F. Peluso, R. Santamaria, “Integrating Sensors into a Marine Drone for Bathymetric 3D Surveys in Shallow Waters”, Sensors, vol. 16, no. 1:41, 2016.10.3390/s16010041473207426729117Search in Google Scholar
F. Adamo, F. Attivissimo, C. Guarnieri Calò Carducci, A.M.L. Lanzolla, A.M.L, “A smart sensor network for sea water quality monitoring”, IEEE Sensors Journal, vol. 15, 2015, pp. 2514-2522.10.1109/JSEN.2014.2360816Search in Google Scholar
I. Borra-Serrano, J. M. Peña, J. Torres-Sánchez, F. J. Mesas-Carrascosa, F. López- Granados, “Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping”, Sensors, vol. 15, 2015, pp. 19688-19708.10.3390/s150819688457039226274960Search in Google Scholar
G. Palma et al., “Novel double step approach for optical sensing via microsphere WGM resonance”, Optics Express, vol. 24, 2016, pp. 26956-26971.10.1364/OE.24.02695627857423Search in Google Scholar
S.L. Cundill, H.M.A van der Werff, M. van der Meijde, “Adjusting Spectral Indices for Spectral Response Function Differences of Very High Spatial Resolution Sensors Simulated from Field Spectra”, Sensors, vol. 15, 2015, pp. 6221-6240.10.3390/s150306221443521625781511Search in Google Scholar
J. Wojtas, A. Gluszek, A Hudzikowski, F.K. Tittel, “Mid-Infrared Trace Gas Sensor Technology Based on Intracavity Quartz-Enhanced Photoacoustic Spectroscopy”, Sensors, vol. 17:513, 2017.10.3390/s17030513537579928273836Search in Google Scholar
G. Palma, et al., “Modeling of whispering gallery modes for rare earth spectroscopic characterization”, IEEE Photonics Technology Letters, vol. 27, 2015, pp. 1861-1863.10.1109/LPT.2015.2443915Search in Google Scholar
G. Palma, et al. “Design of praseodymium-doped chalcogenide micro-disk emitting at 4.7 μm”, Optics Express, vol. 25, 2017, pp. 7014-7030.10.1364/OE.25.00701428381043Search in Google Scholar
S. Naumann, A. Siegmund, R. Ditter, M. Haspel, M. Jahn, and A. Siegmund. “Remote sensing in school–Theoretical concept and practical implementation”E-Learning Tools, Techniques and Applications, edited by G König & H Lehmann (ISPRS, Potsdam), 2009.Search in Google Scholar
M. Jahn, M. Haspel, and A. Siegmund, “Using remote sensing data in the context of education for sustainable development,”in Proc. of 30th EARSeL Symposium of Remote Sensing for Science, Educafion, and Natural and Cultural Heritage, 2010, pp. 731-738.Search in Google Scholar
G. Andria, A. Baccigalupi, M. Borsic, P. Carbone, P. Daponte, C. De Capua, A. Ferrero, D. Grimaldi, N. Locci, A. M. L. Lanzolla, D. Macii, C. Muscas, L. Peretto, D. Petri, S. Rapuano, M. Riccio, S. Salicone, F. Stefan, “Remote Didactic Laboratory “G. Savastano: the Italian Experience for the E-learning at the Technical Universities in the Field of the Electrical and Electronics Measurements, Architecture and Optimization of the Communication Performance Based on Thin Client Technology”, IEEE Transactions on Instrumentation and Measurement, ISSN:0018-9456, vol. 56, no. 4, August 2007, pp. 1124-1134.10.1109/TIM.2007.899983Search in Google Scholar
G. Andria, A. Baccigalupi, M. Borsic, P. Carbone, P. Daponte, C. De Capua, A. Ferrero, D. Grimaldi, N. Locci, A. M. L. Lanzolla, D. Macii, C. Muscas, L. Peretto, D. Petri, S. Rapuano, M. Riccio, S. Salicone, F. Stefan, “Remote Didactic Laboratory “G. Savastano: the Italian Experience for the E-learning at the Technical Universities in the Field of the Electrical and Electronics Measurements, Overview on Didactic Experiments”, IEEE Transactions on Instrumentation and Measurement, ISSN:0018-9456, vol. 56, no. 4, August 2007, pp. 1135-1147.10.1109/TIM.2007.899995Search in Google Scholar
T. Mutlu, C. Hajiyev, “Flight tests, data collection, system identification, performance analysis of multicopter vehicle”, in Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania, October 2014, pp. 19-26.10.1109/ECAI.2014.7090192Search in Google Scholar
L. Derafa, T. Madani, A. Benallegue, “Dynamic modelling and experimental identification of four rotors helicopter parameters,”2006 IEEE International Conference on Industrial Technology, Mumbai, 2006, pp. 1834-1839.10.1109/ICIT.2006.372515Search in Google Scholar
N. V. Hoffer, C. Coopmans, A.M. Jensen, Y. Chen, “A Survey and Categorization of Small Low-Cost Unmanned Aerial Vehicle System Identification”, J. Intell. Robotics Syst., vol. 74, 23-25 October 2014, pp. 129-145.10.1007/s10846-013-9931-6Search in Google Scholar
N.V. Hoffer, C. Coopmans, A.M. Jensen, Y. Chen, R.R. Fullmer, “Small low-cost unmanned aerial vehicle system identification: Brief sensor survey and data quality, consistency checking, and reconstruction”, in Proceedings of International Conference on Unmanned Aircraft Systems (ICUAS), Orlando, FL, 2014, pp. 477-482.10.1109/ICUAS.2014.6842288Search in Google Scholar
P. López-Rodríguez, D. Escot-Bocanegra, D. Poyatos-Martínez, F. Weinmann, “Comparison of Metal-Backed Free-Space and Open-Ended Coaxial Probe Techniques for the Dielectric Characterization of Aeronautical Composites”, Sensors, vol. 16, no. 7:967, 2016.10.3390/s16070967497001927347966Search in Google Scholar
J. Gryzagoridis, D. Findeis, “Simultaneous shearographic and thermographic NDT of aerospace materials”, Insight - Non-Destructive Testing and Condition Monitoring, vol. 48, 2006, pp. 294-297.10.1784/insi.2006.48.5.294Search in Google Scholar
G. Andria, A. Di Nisio, V.L. Scarano, V.L., M. Spadavecchia, M. Bregoli, M. Franceschi, M., N. Tavernini, “Accelerated life tests of a new optocoupler for aerospace application”, in Proceedings IEEE International Workshop on Metrology for Aerospace, MetroAeroSpace 2014, Benevemto, Italy, 29-30 May 2014, pp. 510-514.10.1109/MetroAeroSpace.2014.6865978Search in Google Scholar
Ø. Magnussen, G. Hovland, M. Ottestad, “Multicopter UAV design optimization”, in Proceedings 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), Senigallia, Italy, 2014, pp. 1-6.10.1109/MESA.2014.6935598Search in Google Scholar
Ø. Magnussen, M. Ottestad, G. Hovland, “Multicopter design optimization and validation”, Modeling, Identification and Control, vol. 36, 2015, pp. 67–79.10.4173/mic.2015.2.1Search in Google Scholar
J.M. Winslow, V. Hrishikeshavan, I. Chopra, “Design Methodology for Small Scale Unmanned Quadrotors”, in Proceedings 55th AIAA Aerospace Sciences Meeting, Grapevine, Texas, 9 - 13 January 2017, pp. 1-15.10.2514/6.2017-0014Search in Google Scholar
W.A. Anemmat, et al., “Aerodynamic Design, Analysis and Testing of Propellers for Small Unmanned Aerial Vehicles”, In Proceedings 55th AIAA Aerospace Sciences Meeting, Grapevine, Texas, 9-13 January 2017, pp. 1-12.10.2514/6.2017-0721Search in Google Scholar
C.R. Russel, et al., “Wind Tunnel and Hover Performance Test Results for Multicopter UAS Vehicles”, in Proceedings of AHS 72nd Annual Forum, West Palm Beach, FL, 16-19 May 2016, pp. 1-20.Search in Google Scholar
Dà-Jiāng Innovations Science and Technology Co. Ltd (DJI). Flame Wheel 550 (F550) specifications. Available online: https://www.dji.com/flame-wheel-arf/spec (accessed on 10 May 2017).Search in Google Scholar
National Instruments Corp., “myRIO-1900 User Guide and Specifications”, Available online: http://www.ni.com/pdf/manuals/376047a.pdf (accessed on 10 May 2017).Search in Google Scholar
Toellner, TOE7621-20 4-Quadrant Power Supply specifications.
Available online: http://www.toellner.de/html/img/pool/EN_7621.pdf (accessed on 10 May 2017).Search in Google Scholar
I. Muller, R. M. de Brito, C. E. Pereira, V. Brusamarello, “Load cells in force sensing analysis -- theory and a novel application”, IEEE Instrumentation & Measurement Magazine, vol. 13, 2010, pp. 15-19.10.1109/MIM.2010.5399212Search in Google Scholar
W. K. Lee, H. Yoon, C. Han, K. M. Joo, K. S. Park, “Physiological Signal Monitoring Bed for Infants Based on Load-Cell Sensors”, Sensors, vol. 16, no. 3:409, 2016.10.3390/s16030409481398427007378Search in Google Scholar
G. Andria, F. Attivissimo, N. Giaquinto, A.M.L. Lanzolla, L. Quagliarella, N. Sasanelli, “Functional evaluation of handgrip signals for Parkinsonian patients”, IEEE Trans. Instr. Meas., vol. 55, 2006, pp. 1467-1473.10.1109/TIM.2006.881029Search in Google Scholar
A. Blakeborough, D. Clément, M.S. Williams, N. Woodward, “Novel load cell for measuring axial force, shear force, and bending movement in large-scale structural experiments”, Experimental Mechanics, vol. 42, 2002, pp. 115–122.10.1007/BF02411058Search in Google Scholar
Avia Semiconductor. HX711 - 24-Bit Analog-to-Digital Converter (ADC) for Weigh Scales. Available online: https://cdn.sparkfun.com/datasheets/Sensors/ForceFlex/hx711_english.pdf (accessed on 10 May 2017).Search in Google Scholar
Fairchild Semiconductor, QRB1134 - Phototransistor Reflective Object Sensors. Available online: http://courses.cs.washington.edu/courses/csep567/10wi/labs/QRB1134.pdf (accessed on 10 May 2017).Search in Google Scholar
Sharp Semiconductor, GL380/GL381 - High Output, φ 3mm Resin Mold Type Infrared Emitting Diode. Available online: http://pdf.datasheetcatalog.com/datasheet/Sharp/mXvqxzt.pdf (accessed on 10 May 2017).Search in Google Scholar
Sharp Semiconductor, IS471F - OPIC Light Detector with Built-in Signal Processing Circuit for Light Modulation System. Available online: http://courses.csail.mit.edu/6.141/spring2009/pub/labs/Grasping/docs/Breakbeam-Sensor-Sharp-IS471F.pdf (accessed on 10 May 2017).Search in Google Scholar
Texas Instruments, INA139/169 - High-Side Measurement Current Shunt Monitor. Available online: https://cdn.sparkfun.com/datasheets/Sensors/Current/ina169.pdf (accessed on 10 May 2017).Search in Google Scholar
Texas Instruments. ADS1015 - Ultra-Small, Low-Power, I2C-Compatible, 3.3-kSPS, 12-Bit ADCs With Internal Reference, Oscillator, and Programmable Comparator.
Available online: http://www.ti.com.cn/cn/lit/ds/symlink/ads1015.pdf (accessed on 10 May 2017).Search in Google Scholar
F. Attivissimo, A. Cataldo, L. Fabbiano, N. Giaquinto, “Systematic errors and measurement uncertainty: An experimental approach”, Measurement: Journal of the International Measurement Confederation, vol. 44, 2011, pp. 1781-1789.10.1016/j.measurement.2011.07.011Search in Google Scholar
F. Attivissimo, N. Giaquinto, M. Savino, “Worst-case uncertainty measurement in ADC-based instruments”, Computer Standards and Interfaces, vol. 29, 2009, pp. 5-10.10.1016/j.csi.2005.12.002Search in Google Scholar
Dà-Jiāng Innovations Science and Technology Co., Ltd (DJI). 2212 – 920 KV -
Brushless Motor for Quadcopter/Multirotor/Drone. Available online: https://www.robomart.com/account/product2pdf?productid=1081(accessed on 10 May 2017).Search in Google Scholar
Dà-Jiāng Innovations Science and Technology Co., Ltd (DJI). E300 - Optoisolated Electronic Speed Control. Available online: http://www.dji.com/e300/spec (accessed on 10 May 2017).Search in Google Scholar
G. Andria, A. D’orazio, A. Lay Ekuakille, M. Moretti, P. Pieri, F. Tralli, M. Tropeano, “Accuracy Assessment in Photo Interpretation of Remote Sensing ERS-2/SAR Images”, 17thIEEE - IMTC2000, Baltimore, USA, 1-4 May 2000, pp. 392-394.Search in Google Scholar
G. Andria, A. D’orazio, A. Lay Ekuakille, M. Notarnicola, “Modelling Study in Remote Sensing of Air Pollution Measured Data”, 17th IEEE - IMTC2000, Baltimore, USA, 1-4 May 2000, pp. 782-785.Search in Google Scholar