Search Strategies for Multiple UAV Search and Destroy Missions

• Tipo: Artigo em Revista Científica Internacional
• Data: 2011

Autores

George, J (Autor) Outra; Sujit, PB (Autor) Outra; João Tasso Sousa (Autor) FEUP

Revista

Título: Journal of Intelligent and Robotic Systems: Theory and Applications

Vol. 61

Páginas: 355-367

ISSN: 0921-0296

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 44 Citações

Scopus - 89 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de controlo > Robótica

Outras Informações

ID Authenticus: P-002-TSE

DOI: 10.1007/s10846-010-9486-8

Abstract (EN): Multiple UAVs are deployed to carry out a search and destroy mission in a bounded region. The UAVs have limited sensor range and can carry limited resources which reduce with use. The UAVs perform a search task to detect targets. When a target is detected which requires different type and quantities of resources to completely destroy, then a team of UAVs called as a coalition is formed to attack the target. The coalition members have to modify their route to attack the target, in the process, the search task is affected, as search and destroy tasks are coupled. The performance of the mission is a function of the search and the task allocation strategies. Therefore, for a given task allocation strategy, we need to devise search strategies that are efficient. In this paper, we propose three different search strategies namely; random search strategy, lanes based search strategy and grid based search strategy and analyze their performance through Monte-Carlo simulations. The results show that the grid based search strategy performs the best but with high information overhead.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13