UAS Flight Path Optimization Model for Effective Monitoring and Surveillance of the Buffer Zone in the UNFICYP Peacekeeping Mission

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F26%3A00563565" target="_blank" >RIV/60162694:G42__/26:00563565 - isvavai.cz</a>
Result on the web
<a href="https://www.springer.com/series/558" target="_blank" >https://www.springer.com/series/558</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-71397-2_4" target="_blank" >10.1007/978-3-031-71397-2_4</a>

Result language
angličtina
Original language name
UAS Flight Path Optimization Model for Effective Monitoring and Surveillance of the Buffer Zone in the UNFICYP Peacekeeping Mission
Original language description
The paper deals with modelling of UAS flight paths in the real operating environment of UNFICYP peacekeeping mission. The aim of the model is to optimize the flight paths of both one UAS and group of UAS in order to increase the effectiveness of monitoring and surveillance of defined area of responsibility while respecting the mandate, real spatial conditions, operational requirements and restrictions of UNFICYP. In the paper applied model transforms stabilization tactical activity monitoring and surveillance into the problem of planning UAS flight paths in a graph created from path points distributed in a defined AOR. The article consists of four chapters. The first two chapters formulate a research problem, illustrate the applied research methodology, identify and evaluate current negative areas of the subject of research and point out the causes and consequences of this status. The next two chapters represent the main scientific and experimental part of the paper. Attention is paid to defining criteria and operational requirements for UAS, and the final chapter presents modelling.
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-71396-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
34-47
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Cham Switzerland
Event location
Palermo, Italian Republic
Event date
Oct 17, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001419689800004

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