Challenges Associated with the Deployment of Autonomous Reconnaissance Systems on Future Battlefields

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F25%3A00563564" target="_blank" >RIV/60162694:G42__/25:00563564 - 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_11" target="_blank" >10.1007/978-3-031-71397-2_11</a>

Result language
angličtina
Original language name
Challenges Associated with the Deployment of Autonomous Reconnaissance Systems on Future Battlefields
Original language description
The article describes the possibilities of using autonomous robotic systems in conducting reconnaissance in military operations. It identifies the advantages, disadvantages and limitations of and to their effective deployment in open terrain and for reconnaissance in built-up areas. The proposed option to address the problem areas is the Modular Robotic Reconnaissance System, which consists of an interconnected and cooperating ground and air part in the form of an Unmanned Ground System and Unmanned Aircraft System. By simultaneously operating on the ground and at different flight altitudes in the air, the system allows commanders to develop a more comprehensive view of the battlefield situation and to explore rugged terrain, including built-up areas. The communication link between all elements of the system, other systems and commanders on the battlefield is designed on the basis of the wave relay MANET radio network. Flexibility of deployment and long-term sustainability in military operations is a key requirement for planning and controlling the operation of robotic systems, for which the Tactical Decision Support System and its mathematical algorithmic models can be used.
Czech name
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Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
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
22
Pages from-to
176-197
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
001419689800011

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