Real-time Localization of Transmission Sources Using a Formation of Micro Aerial Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00336529" target="_blank" >RIV/68407700:21230/19:00336529 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/RCAR47638.2019.9043942" target="_blank" >https://doi.org/10.1109/RCAR47638.2019.9043942</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RCAR47638.2019.9043942" target="_blank" >10.1109/RCAR47638.2019.9043942</a>
Alternative languages
Result language
angličtina
Original language name
Real-time Localization of Transmission Sources Using a Formation of Micro Aerial Vehicles
Original language description
Techniques designed for using teams of small and therefore safe Micro Aerial Vehicles (MAVs) for realization of antenna-like sensing devices with flexible shape, which may be adaptively changed based on the currently sensed properties of the scanned medium, are presented in this paper. This approach enables using simple and cheap sensors carried onboard of MAVs and cooperatively deploying them in the environment to optimize overall sensitivity of the compound sensory array. Two case studies of a deployment of MAV teams in the application of real-time radio transmitters localization are discussed as an example. The first method relies on Kalman Filter-based fusion of distributed RSSI measurements used to estimate distances between the transmitter and multiple receivers, which results in precise, robust and fast transmitters location in the environment. The second method utilizes onboard rotating directional antennas to estimate angles between transmitters and receivers at different positions and a Weighted Robust Least Squares method to determine transmitters locations. Both algorithms were verified in a realistic simulation system under Gazebo simulator in ROS and in real experiments with a fleet of MAVs, with a focus on aspects of real-time information fusion and coordination of MAVs sharing the same workspace with small mutual distances.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 2019 International Conference on Real-time Computing and Robotics
ISBN
978-1-7281-3726-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
203-208
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
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Event location
Irkutsk
Event date
Aug 4, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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