Swarming of Unmanned Aerial Vehicles by Sharing Distributed Observations of Workspace

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360911" target="_blank" >RIV/68407700:21230/22:00360911 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ICUAS54217.2022.9836073" target="_blank" >https://doi.org/10.1109/ICUAS54217.2022.9836073</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICUAS54217.2022.9836073" target="_blank" >10.1109/ICUAS54217.2022.9836073</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Swarming of Unmanned Aerial Vehicles by Sharing Distributed Observations of Workspace

Popis výsledku v původním jazyce

A control and relative localization approach for a swarm of unmanned aerial vehicles (UAVs) flying in a forest environment is proposed in this paper. To achieve robust mutual relative localization of agents in such an obstacle-rich environment, we propose a decentralized localization approach based on a comparison of the workspace observation by on-board sensors of cooperating UAVs. We propose sharing sparse local obstacle maps to estimate bearing and distance between swarm members by fitting spacialy and time-distributed scans. Moreover, we propose fully decentralized flocking control rules adapted for deployment in such demanding conditions of real forests. The proposed approach was verified in the realistic Gazebo simulator, as well as in outdoor experiments. The approach introduced in this paper was also compared with a state-of-the-art method for relative localization and navigation of a swarm through a forest.

Název v anglickém jazyce

Swarming of Unmanned Aerial Vehicles by Sharing Distributed Observations of Workspace

Popis výsledku anglicky

A control and relative localization approach for a swarm of unmanned aerial vehicles (UAVs) flying in a forest environment is proposed in this paper. To achieve robust mutual relative localization of agents in such an obstacle-rich environment, we propose a decentralized localization approach based on a comparison of the workspace observation by on-board sensors of cooperating UAVs. We propose sharing sparse local obstacle maps to estimate bearing and distance between swarm members by fitting spacialy and time-distributed scans. Moreover, we propose fully decentralized flocking control rules adapted for deployment in such demanding conditions of real forests. The proposed approach was verified in the realistic Gazebo simulator, as well as in outdoor experiments. The approach introduced in this paper was also compared with a state-of-the-art method for relative localization and navigation of a swarm through a forest.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/GA20-10280S" target="_blank" >GA20-10280S: Spolehlivé kompaktní skupiny miniaturních vzdušných robotů proměnného tvaru řízené senzorickým vnímáním</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 International Conference on Unmanned Aircraft Systems (ICUAS)

ISBN

978-1-6654-0593-5

ISSN

2373-6720

e-ISSN

2575-7296

Počet stran výsledku

10

Strana od-do

300-309

Název nakladatele

IEEE Industrial Electronics Society

Místo vydání

Piscataway

Místo konání akce

Dubrovnik

Datum konání akce

21. 6. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000854030400036