Modeling a Reconnaissance Operation in an Urban Environment Using a Swarm of UAVs
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00560480" target="_blank" >RIV/60162694:G43__/26:00560480 - isvavai.cz</a>
Výsledek na webu
<a href="https://journals.sagepub.com/doi/10.1177/15485129231203706" target="_blank" >https://journals.sagepub.com/doi/10.1177/15485129231203706</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/15485129231203706" target="_blank" >10.1177/15485129231203706</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling a Reconnaissance Operation in an Urban Environment Using a Swarm of UAVs
Popis výsledku v původním jazyce
Military operations are increasingly taking place in urban environments; the effective reconnaissance of such environments is critical to their success. This article deals with modelling the reconnaissance of a built-up area using a swarm of heterogeneous cooperating unmanned aerial vehicles. The model consists of two phases. In the first, a set of waypoints is generated from which the reconnaissance of the walls and roofs of buildings and roads located in the area of intelligence responsibility is performed; the waypoints are deployed in such a manner that the comprehensive reconnaissance of all objects takes place while keeping their number as small as possible. In the second phase, the flight trajectories of the available unmanned aerial vehicles are planned with the purpose of minimizing the overall operation time; the intention is thus to load each vehicle evenly. The proposed model is validated on a set of six scenarios with varying complexity; each scenario is based on typical tactical situations. This article is a contribution to the research being intensively conducted in the field of robotic systems for civilian and military applications.
Název v anglickém jazyce
Modeling a Reconnaissance Operation in an Urban Environment Using a Swarm of UAVs
Popis výsledku anglicky
Military operations are increasingly taking place in urban environments; the effective reconnaissance of such environments is critical to their success. This article deals with modelling the reconnaissance of a built-up area using a swarm of heterogeneous cooperating unmanned aerial vehicles. The model consists of two phases. In the first, a set of waypoints is generated from which the reconnaissance of the walls and roofs of buildings and roads located in the area of intelligence responsibility is performed; the waypoints are deployed in such a manner that the comprehensive reconnaissance of all objects takes place while keeping their number as small as possible. In the second phase, the flight trajectories of the available unmanned aerial vehicles are planned with the purpose of minimizing the overall operation time; the intention is thus to load each vehicle evenly. The proposed model is validated on a set of six scenarios with varying complexity; each scenario is based on typical tactical situations. This article is a contribution to the research being intensively conducted in the field of robotic systems for civilian and military applications.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
21100 - Other engineering and technologies
Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Defense Modeling and Simulation
ISSN
1548-5129
e-ISSN
1557-380X
Svazek periodika
22
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
18
Strana od-do
129-146
Kód UT WoS článku
001080827700001
EID výsledku v databázi Scopus
2-s2.0-105002265787