Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles
The result's identifiers
Result code in 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>
Alternative codes found
RIV/60162694:G42__/23:00557947
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Reconnaissance in Complex Environment with No-Fly Zones Using a Swarm of Unmanned Aerial Vehicles
Original language description
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.
Czech name
—
Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ02010036" target="_blank" >VJ02010036: An Artificial Intelligence-Controlled Robotic System for Intelligence and Reconnaissance Operations</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS (MESAS 2021)
ISBN
978-3-030-98259-1
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
308-321
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Cham
Event location
, ELECTR NETWORK
Event date
Oct 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000787774900019