Bibliografia

Bibliografia - wykorzystanie dronów w BHP

 

[1] Villa, T.F. et al. An Overview of Small Unmanned Aerial Vehicles for Air Quality Measurements: Present Applications and Future Prospectives; Sensors 2016, No. 16(7). doi: org/10.3390/s16071072.

[2] Villa, T.F. et al. Development and Validation of a UAV Based System for Air Pollution Measurements. Sensors 2016, No. 16(2). doi.org/10.3390/s16122202.

[3] Neumann, P.P. Gas Source Localization and Gas Distribution Mapping with a Micro-Drone. Freie Universitat Berlin, Fachbereich Mathematik und Informatik: Berlin, 2013. doi: org/10.17169/refubium-11738.

[4] Juan, R. et al. Mini-UAV based sensory system for measuring environmental variables in greenhouses. Sensors 2015, No. 15, pp. 3334-3350.

[5] Xiao, L. et al. A survey on gas sensing technology. Sensors 2012, No. 12, pp. 9635-9665.

[6] DR1000 FLYING LAB. Drone Based Air Quality Analyzer. www.scentroid.com/scentroid-sampling-drone/.

[7] www.scentroid.com/scentroid-dr1000/.

[8] Villa, T.F. et al. Characterization of the particle emission from a ship operating at sea using an unmanned aerial vehicle. Atmospheric Measure Techniques 2019, No. 12, pp. 691-702. doi: org/10.5194/amt-12-691-2019.

[9] Westerlund, J., Hallquist, M., Hallquist, A.M. Characterization of fleet emissions from ships through multiindividual determination of size-resolved particle emissions in a coastal area. Atmospheric Environment 2015, No. 112, pp. 159­-166. doi: org/10.1016/j.atmosenv.2015.04.018.

[10] www.libelium.com/3d-air-quality-modeling-with-sensor-drones-in-greece/. (IWCMC), IEEE, Jun 2017, Valencia, Spain, pp. 2115-2120.

[11] Pajares, G. Overview and current status of remote sensing applications based on unmanned aerial vehicles (uavs). Photogrammetric Engineering & Remote Sensing 2015, No. 81(4), pp. 281-329.

[12] Qijun Gu, Michanowicz D.R., Chunrong Jia. Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling. Sensors 2018, No. 18. doi:10.3390/s18124363.

[13] Alvear, O. et al. A chemotactic pollution-homing UAV guidance system. 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017), IEEE, 2017, Valencia, Spain, pp. 2115-2120. doi: ff10.1109/IWCMC.2017.7986610.

[14] Yungaicela-Naula, N.M. et al. Design and Implementation of an UAV-based Platform for Air Pollution Monitoring and Source Identification. Congreso Nacional de Control Automático 2017, Monterrey, Nuevo León, Mexico, 2017.

[15] Velasco, A. et al. A Mobile and Low-Cost System for Environmental Monitoring. Sensors 2016, No. 16, p. 710.

[16] Yuzhe Yang et al. Realtime Profiling of Fine-Grained Air Quality Index Distribution using UAV Sensing. IEEE Internet of Things Journal2018, No. 5(1), pp. 186-198. doi: 10.1109/JIOT.2017.2777820.

 [17] Rossi, M. et al. Gas-Drone: Portable gas sensing system on UAVs for gas leakage localization. Sensors 2014, IEEE. doi: 10.1109/ICSENS.2014.6985282.

[18] Rossi, M., Brunelli, D. Autonomous Gas Detection and Mapping With Unmanned Aerial Vehicles. IEEE Transactions on Instrumentation and Measurement 2016, No. 65(4).

[19] Shaposhnik, A. et al. Selective Gas Detection by a Single MOX-Sensor; Eurosensors; Proceedings 2017, No. 1. doi: 10.3390/proceedings1040594.

[20] Burgues, J., Marco, S. Multivariate estimation of the limit of detection by orthogonal partial least squares in temperature-modulated MOX sensors. Analytica Chimica Acta 2018, No. 1019, pp. 49-64.

[21] Burgues J. et al. Smelling Nano Aerial Vehicle for Gas Source Localization and Mapping. Sensors 2019, No. 19. doi: 10.3390/s19030478.

[22] Custers B. et al. The Future of Drone Use. Opportunities and Threats from Ethical and legal Perspectives; Information Technology and Low Series, No. 27, Springer, 2016. doi: org/10.1007/978-94-6265-132-6.

[23] www.interdrone.com/uncategorized/self-driving-drones-navigate-city-streets/.

[24] mwi.usma.edu/era-drone-swarm-coming-need-ready/.

[25]medium.com/nanonets/how-i-built-a-self-flying-drone-to-track-people-in-under-50-lines-of-code- 7485de7f828e.

 [26] Vasconcelos, F., Vasconcelos, N. Person-following UAVs. Proceedings of IEEE Winter Applications of Computer Vision Conference (WACV), Lake Placid, USA: New York, 2016. online: www.svcl.ucsd.edu/projects/dronefollow/
2016IEEEWACVPersonFollo-ingUAVs.pdf.

 
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