Research Article
Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios
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@INPROCEEDINGS{10.1007/978-3-319-13329-4_17, author={Oleksandr Artemenko and Alina Rubina and Oleg Golokolenko and Tobias Simon and Jan R\o{}misch and Andreas Mitschele-Thiel}, title={Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios}, proceedings={Ad Hoc Networks. 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers}, proceedings_a={ADHOCNETS}, year={2014}, month={11}, keywords={Localization Path planing algorithm Mobile beacon Disaster Unmanned aerial vehicle Simulation Experiment}, doi={10.1007/978-3-319-13329-4_17} }- Oleksandr Artemenko
Alina Rubina
Oleg Golokolenko
Tobias Simon
Jan Römisch
Andreas Mitschele-Thiel
Year: 2014
Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios
ADHOCNETS
Springer
DOI: 10.1007/978-3-319-13329-4_17
Abstract
In this paper, a so-called LMAT (ocalization algorithm with a obile nchor node based on rilateration) 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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