@inproceedings{Ferreira2025MumTFormation,

title = {MUM-T Formation Reconfiguration Analysis For a Defense Scenario},

author = {Thiago Nogueira Ferreira and Carlos Henrique Costa Ribeiro and Jos\'{e} Fernando Basso Brancalion},

url = {https://www.sige.ita.br/edicoes-anteriores/2025/TRABALHOS/Artigos-com-ISSN/MUM-T Formation Reconfiguration Analysis For a Defense Scenario.pdf},

issn = {1983-7402},

year  = {2025},

date = {2025-01-01},

booktitle = {Anais do Simp\'{o}sio de Aplica\c{c}\~{o}es Operacionais em \'{A}reas de Defesa (SIGE)},

pages = {170\textendash175},

address = {S\~{a}o Jos\'{e} dos Campos, Brasil},

organization = {Instituto Tecnol\'{o}gico de Aeron\'{a}utica},

abstract = {Unmanned Aerial Vehicles (UAVs) operating in formation can leverage the capabilities and efficiency of UAV systems. This paper analyzes the impact in terms of time and distance demanded for UAV formation reconfiguration in a simulated manned-unmanned team defense scenario against threatening drone swarm attacks. With limited time for defense, it is necessary to optimize the allocation of the UAVs to each position of the target formation. The problem of optimizing multiple UAV formation reconfiguration is solved with the Hungarian algorithm, and the performance of transitioning between different formation shapes is evaluated in our scenario through 3D simulations. The results demonstrate the feasibility and effectiveness of the proposed formation reconfiguration solution integrated with our considered system architecture.},

keywords = {Formation Reconfiguration, MUM-T Defense Formation, Simulation},

pubstate = {published},

tppubtype = {inproceedings}

}