Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F23%3A00557947" target="_blank" >RIV/60162694:G43__/23:00557947 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G42__/23:00557947

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-98260-7_19" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-98260-7_19</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-98260-7_19" target="_blank" >10.1007/978-3-030-98260-7_19</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles

Popis výsledku v původním jazyce

This paper presents the model of reconnaissance of the area of interest performed by a swarm of cooperative Unmanned Aerial Vehicles. The reconnaissance operation of the area may be conducted in a complex environment in which obstacles and/or terrain may block the line of sight from sensors and, thus, occlude some parts of the area. Also, the no-fly zones can be defined where no vehicle is permitted at any time of the operation. The model focuses on planning trajectories of all the vehicles in the swarm in such a way that the vehicles avoid the no-fly zones, the sensors of the vehicles explore as large area as possible during the operation and, at the same time, the operation is performed as quickly as possible. Exact and stochastic (metaheuristic) algorithms are proposed to find a solution to the task at hand. A set of experimental tasks, based on the real military reconnaissance scenarios, is proposed to verify the presented model and algorithms.

Název v anglickém jazyce

Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles

Popis výsledku anglicky

This paper presents the model of reconnaissance of the area of interest performed by a swarm of cooperative Unmanned Aerial Vehicles. The reconnaissance operation of the area may be conducted in a complex environment in which obstacles and/or terrain may block the line of sight from sensors and, thus, occlude some parts of the area. Also, the no-fly zones can be defined where no vehicle is permitted at any time of the operation. The model focuses on planning trajectories of all the vehicles in the swarm in such a way that the vehicles avoid the no-fly zones, the sensors of the vehicles explore as large area as possible during the operation and, at the same time, the operation is performed as quickly as possible. Exact and stochastic (metaheuristic) algorithms are proposed to find a solution to the task at hand. A set of experimental tasks, based on the real military reconnaissance scenarios, is proposed to verify the presented model and algorithms.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/VJ02010036" target="_blank" >VJ02010036: Robotický systém řízený algoritmy umělé inteligence pro zpravodajské a průzkumné účely</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS (MESAS 2021)

ISBN

978-3-030-98259-1

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

14

Strana od-do

308-321

Název nakladatele

SPRINGER INTERNATIONAL PUBLISHING AG

Místo vydání

Cham

Místo konání akce

, ELECTR NETWORK

Datum konání akce

13. 10. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000787774900019