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Publication

Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios

Authors:
Dr.-Ing. Oleksandr Artemenko
M. Sc. Alina Rubina
Oleg Golokolenko
Dr.-Ing. Tobias Simon
Jan Römisch
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Typ:
Conferences
Status:
accepted
Date of publication
08/20/2014
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.
Bibtex
External link
http://blog.eai.eu/localizing-wireless-devices-to-rescue-the-victims-of-disastrous-events/
Documents
http://dx.doi.org/10.1007/978-3-319-13329-4_17