Abstract
Current technological progress allows the implementation of an innovative solution that would aid the work of emergency first responder personnel. However, managing crisis situations is highly dependable on the situational awareness factors. Therefore, this paper proposes a conceptual model of a crisis management platform which integrates several technologies such as UAVs, heat cameras, toxicity sensors, and also body wearable sensors, which are capable of aggregating all the information from the above-mentioned devices. By using the proposed innovative platform, we analyze how a decrease of tragical events within the emergency sites can be achieved.
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References
Tu, D.H., Esten, I.G., Sujit, P.B., Tor, A.J.: Optimization of wireless sensor network and UAV data acquisition. J. Intell. Robot. Syst. 78, 159–179 (2015)
Purvis, K., Astrom, K., Khammash, M.: Estimation and optimal configurations for localization using cooperative UAVs. IEEE Trans. Control Syst. Technol. 16, 947–958 (2008)
Frew, E.W., Brown, T.X.: Networking issues for small unmanned aircraft systems. J. Int. Robot. Syst. 54, 21–37 (2008)
Ruz, J.J., Arevalo, O., Pajares, G., Cruz, J.M.: UAV trajectory planning for static and dynamic environments, Ch. 27, pp. 581–600. InTech (2009)
Flushing, E.F., Gambardella, L., Caro, G.D.: Search and rescue using mixed swarms of heterogeneous agents: modeling, simulation, and planning, IDSIA/USI-SUPSI, Technical report (2012)
Bas, V., Huub, N., Geert, B., Bart, C.: Drone technology: types, payloads, applications, frequency spectrum issues and future developments (2016)
Everaerts, J.: The use of Unmanned Aerial Vehicles (UAVs) for remote sensing and mapping
Maria, J.: Civil drones in the European Union, European Parliamentary Research Service (2015)
Silvana, P.: Swiss military drones and the border space: a critical study of the surveillance exercised by border guards, Institute of Geography, University of Neuchâtel, Neuchâtel, Switzerland (2017)
Tom, M.: Institute of Geography, University of Neuchâtel, Neuchâtel, Switzerland (2016)
Paolo, T., Massimo, S., Giacomo, D.: Towards smart farming and sustainable agriculture with drones. In: IE (Intelligent Environments) (2015)
Pederi, Y.A., Cheporniuk, H.S.: Unmanned aerial vehicles and new technological methods of monitoring and crop protection in precision agriculture. In: IEEE International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) (2015)
HELIPSE: Border surveillance drones (UAV VTOL) (2016)
LIBELIUM: The first Smart Vineyard in Lebanon chooses Libelium’s technology to face the climate change. http://www.libelium.com/the-first-smart-vineyard-in-lebanon-chooses-libeliums-technology-to-face-the-climate-change/
Kaur, G., Joshi, S., Singh, G.: Food sustainability using wireless sensors networks: Waspmote and Meshlium. Int. J. Comput. Sci. Inf. Technol. 5(3), 4466–4468 (2014)
Zarco-Tejada, P.J., Suárez, L., Fereres, E., Berni, J.A.J.: Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Remote Sens. 47(3), 722–738 (2009)
Watts, A.C., Ambrosia, V.G., Hinkley, E.A.: Unmanned aircraft systems in remote sensing and scientific research: classification and considerations of use. Remote Sens. 4(6), 1671–1692 (2012)
Aden, S.T., Bialas, J.P., Champion, Z., Levin, E., McCarty, J.L.: Low cost infrared and near infrared sensors for UAVs. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-1 (2014)
Yufu, Q., Guirong, Z., Zhaofan, Z., Ziyue, L., Jiansen, M.: Active multimodal sensor system for target recognition and tracking. Sensors 17(7), 1518 (2017). Open Access Journal
Jouni, R., Joakim, R., Peter, S.: Accurate and reliable soldier and first responder indoor positioning: multisensor systems and cooperative localization. IEEE Wirel. Commun. 18, 10–18 (2011)
Francesco, N., Fabio, R.: UAV for 3D mapping applications: a review. Appl. Geomat. 6, 1–15 (2013)
Sonya, A.H., Mac, J.M., Peter, F., David, I., Patti, J.C.: Emergency management: exploring hard and soft data fusion modeling with unmanned aerial systems and non-governmental human intelligence mediums (2016)
Vishwas, R.P., Sreenatha, G.A.: Comparison of real-time online and offline neural network models for a UAV. In: Proceedings of International Joint Conference on Neural Networks (2007)
Elyes, B.H., Muhammad, M.A., Mickael, M., Denis, B., D’Errico, R.: Wearable Body-to-Body Networks for Critical and Rescue Operations – The CROW2 Project (2014)
Suciu, G., Suciu, V., Martian, A., Craciunescu, R., Vulpe, A., Marcu, I., Halunga, S., Fratu, O.: Big data, internet of things and cloud convergence–an architecture for secure e-health applications. J. Med. Syst. 39(11), 141–145 (2015)
LIBELIUM: Sensor boards. http://www.libelium.com/products/waspmote/sensors/
Acknowledgments
This work has been supported in part by UEFISCDI Romania through projects 3DSafeguard, WINS@HI and ESTABLISH, and funded in part by European Union’s Horizon 2020 research and innovation program under grant agreement No. 777996 (SealedGRID project).
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Suciu, G. et al. (2018). Sensors Fusion Approach Using UAVs and Body Sensors. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-319-77700-9_15
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