Source: Journal of Physics : conference series. Conference titles: International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE 2015). Unidade: EESC
Subjects: SISTEMAS INTELIGENTES DE TRANSPORTES, PAVIMENTAÇÃO ASFÁLTICA, SENSORIAMENTO REMOTO
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BRANCO, Luiz Henrique Castelo e SEGANTINE, Paulo Cesar Lima. MaNIAC-UAV: a methodology for automatic pavement defects detection using images obtained by unmanned aerial vehicles. Journal of Physics : conference series. Bristol: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1088/1742-6596/633/1/012122. Acesso em: 21 maio 2024. , 2015APA
Branco, L. H. C., & Segantine, P. C. L. (2015). MaNIAC-UAV: a methodology for automatic pavement defects detection using images obtained by unmanned aerial vehicles. Journal of Physics : conference series. Bristol: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1088/1742-6596/633/1/012122NLM
Branco LHC, Segantine PCL. MaNIAC-UAV: a methodology for automatic pavement defects detection using images obtained by unmanned aerial vehicles [Internet]. Journal of Physics : conference series. 2015 ; 633 Paper 012122 (p. 1-4)[citado 2024 maio 21 ] Available from: https://doi.org/10.1088/1742-6596/633/1/012122Vancouver
Branco LHC, Segantine PCL. MaNIAC-UAV: a methodology for automatic pavement defects detection using images obtained by unmanned aerial vehicles [Internet]. Journal of Physics : conference series. 2015 ; 633 Paper 012122 (p. 1-4)[citado 2024 maio 21 ] Available from: https://doi.org/10.1088/1742-6596/633/1/012122
