An embedded system architecture based on genetic algorithms for mission and safety planning with UAV (2017)
- Authors:
- USP affiliated authors: TOLEDO, CLÁUDIO FABIANO MOTTA - ICMC ; TRINDADE JUNIOR, ONOFRE - ICMC
- Unidade: ICMC
- DOI: 10.1145/3071178.3071302
- Subjects: SISTEMAS DISTRIBUÍDOS; PROGRAMAÇÃO CONCORRENTE; SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA
- Keywords: Path Planning; Unmanned Aerial Vehicles
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: The Genetic and Evolutionary Computation Conference - GECCO
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ARANTES, Jesimar da Silva et al. An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. 2017, Anais.. New York: ACM, 2017. Disponível em: https://doi.org/10.1145/3071178.3071302. Acesso em: 10 jan. 2026. -
APA
Arantes, J. da S., Arantes, M. da S., Toledo, C. F. M., Trindade Junior, O., & Williams, B. C. (2017). An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. In Proceedings. New York: ACM. doi:10.1145/3071178.3071302 -
NLM
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. An embedded system architecture based on genetic algorithms for mission and safety planning with UAV [Internet]. Proceedings. 2017 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1145/3071178.3071302 -
Vancouver
Arantes J da S, Arantes M da S, Toledo CFM, Trindade Junior O, Williams BC. An embedded system architecture based on genetic algorithms for mission and safety planning with UAV [Internet]. Proceedings. 2017 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1145/3071178.3071302 - IFA2S: in-flight awareness augmentation systems
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Informações sobre o DOI: 10.1145/3071178.3071302 (Fonte: oaDOI API)
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