Abstract
In this paper, a so-called LMAT (Localization algorithm with a Mobile Anchor node based on Trilateration) path planning algorithm is being validated using simulations and evaluated in experiments using a real unmanned aerial vehicle (UAV). Our focus is to find out if the flying path used for our unique scenario, represented by a disastrous event, fulfills the required accuracy. In our scenario, we consider an UAV that moves around buildings and localizes “survived” devices inside a building. This can help to detect victims and to accelerate the rescue process. For this, fast and accurate localization is essential.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Artemenko, O., Rubina, A., Golokolenko, O., Simon, T., Römisch, J., Mitschele-Thiel, A. (2014). Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios. In: Mitton, N., Gallais, A., Kantarci, M., Papavassiliou, S. (eds) Ad Hoc Networks. ADHOCNETS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-13329-4_17
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DOI: https://doi.org/10.1007/978-3-319-13329-4_17
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