Finding and Monitoring Number of Living Entities through Unmanned Aeria
Keywords:UAV, Drones, Agent-based model, Cooperative agents, Targets searching
The rapid development of Unmanned Aerial Vehicles UAVs technology opens many new application areas. One of these applications is remote monitoring for living entities (Humans or Animals) within a known area for safety and protection purposes. UAVs are programmable to carry missions according to a specified algorithm. Their ability of movements and actions provide solutions with a reasonable cost. However, how a set of UAVs doing a mission behave cooperatively need to be tested and evaluated in a lab with simulation before moving to operation field. In this paper, a model for scanning determined area using a set of cooperative UAVs is developed and tested. The objective is reducing operation time. The set of affecting parameters is examined. The model is simulated using NetLogo agent-based simulation tool. The results of the experiment of a various settings are conducted.
Sud, Ajay. "UAVs and Counter UAVs Technologies in the World and the Indigenous Capability." CLAWS Journal, vol. 13, no. 1, 2020, pp. 65-84.
Hodgson, J., Baylis, S., Mott, R. et al. « Precision wildlife monitoring using unmanned aerial vehicles". Sci Rep 6, 22574 (2016). https://doi.org/10.1038/srep22574
Semel B, P, Karpanty S, M, Vololonirina F, F, Rakotonanahary A, N "Eyes in the Sky: Assessing the Feasibility of Low-Cost, Ready-to-Use Unmanned Aerial Vehicles to Monitor Primate Populations Directly” Folia Primatol 2020;91:69-82. doi: 10.1159/000496971
Virágh, Csaba & Vásárhelyi, Gábor & Tarcai, Norbert & Szörényi, Tamás & Somorjai, Gergő & Nepusz, Tamás & Vicsek, Tamás. (2013). Flocking algorithm for autonomous flying robots. Bioinspiration & Biomimetics. Chamoso P., Raveane W., Parra V., González A. (2014) " UAVs Applied to the Counting and Monitoring of Animals" In: Ramos C., Novais P., Nihan C., Corchado Rodríguez J. (eds) Ambient Intelligence -Software and Applications. Advances in Intelligent Systems and Computing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-07596-9_8
M. Thomas , “ Using A Mobile Based Communication System To Find Missing People”, Master thesis, College of Biological and Physical Sciences School of Computing and Informatics. Kenya, 2013.
A. Nagaty, C. Thibault, M. Seto, M. Trentini andH. Li, "Construction, modeling and control of an autonomous Unmanned Aerial Vehicle for target localization," 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), Shenzhen, 2013, pp. 1544-1549. doi: 10.1109/ROBIO.2013.6739686
I. Colomina, P. Molina, “Unmanned aerial systems for photogrammetry and remote sensing: A review”, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 92, 2014, Pages 79-97, ISSN 0924-2716
Anshuman Bhardwaj, Lydia Sam, Akanksha, F. Javier Martín-Torres, Rajesh Kumar, “UAVs as remote sensing platform in glaciology: Present applications and future prospects”, Remote Sensing of Environment, Volume 175, 2016, Pages 196-204, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2015.12.029.
Yuan Q, Zhan J, Li X. Outdoor flocking of quadcopter drones with decentralized model predictive control. ISA Trans. 2017 Nov;71(Pt 1):84-92. doi: 10.1016/j.isatra.2017.07.005. Epub 2017 Jul 11. PMID: 28709654.
S. Prisznyák, “Drones and Jails. Scientific Bulletin, 23(1), pp. 43-52. 2018, doi:10.2478/bsaft-2018-0006
U. Wilensky, "Center for Connected Learning and Computer-Based Modeling," Northwestern University, 1999. [Online]. Available: http://ccl.northwestern.edu/netlogo/. [Accessed 2017].
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