Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/71685
Author(s): P. B. Sujit
João Sousa
Fernando Pereira
Title: Multiple UAV teams for multiple tasks
Issue Date: 2009
Abstract: In a search and prosecute mission, multiple heterogeneous unmanned aerial vehicles UAVs that carry different resources need to perform the classify, prosecute and battle damage assessment (BDA) tasks on targets sequentially. Depending on the target resource requirement, it may be necessary to deploy a coalition of UAVs to perform the action. In this paper, we propose coalition formation algorithms that have low computational overhead to determine coalitions for the prosecute and the BDA tasks. We also develop a simultaneous strike mechanism based on Dubins curves for the UAVs to prosecute the target simultaneously. Monte-Carlo simulation results are presented to show how the algorithms work and the effect of increasing the number of BDA tasks on the mission performance. © 2009 IEEE.
Subject: Ciências Tecnológicas
Technological sciences
URI: https://repositorio-aberto.up.pt/handle/10216/71685
Source: IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2009
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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