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Artigo de periodico
Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles (2020)
Morais, Gustavo A.P. de; Marcos, Lucas Barbosa ; Bueno, José Nuno Almeida Dias; Resende, Nilo Freitas de; Terra, Marco Henrique ; Grassi Júnior, Valdir
Source: Control Engineering Practice. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, CONTROLE (TEORIA DE SISTEMAS E CONTROLE), APRENDIZAGEM PROFUNDA, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORAIS, Gustavo A.P. de et al. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles. Control Engineering Practice, v. 104, 2020Tradução . . Disponível em: http://dx.doi.org/10.1016/j.conengprac.2020.104630. Acesso em: 17 jun. 2024.
APA
Morais, G. A. P. de, Marcos, L. B., Bueno, J. N. A. D., Resende, N. F. de, Terra, M. H., & Grassi Júnior, V. (2020). Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles. Control Engineering Practice, 104. doi:10.1016/j.conengprac.2020.104630
NLM
Morais GAP de, Marcos LB, Bueno JNAD, Resende NF de, Terra MH, Grassi Júnior V. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles [Internet]. Control Engineering Practice. 2020 ; 104[citado 2024 jun. 17 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630
Vancouver
Morais GAP de, Marcos LB, Bueno JNAD, Resende NF de, Terra MH, Grassi Júnior V. Vision-based robust control framework based on deep reinforcement learning applied to autonomous ground vehicles [Internet]. Control Engineering Practice. 2020 ; 104[citado 2024 jun. 17 ] Available from: http://dx.doi.org/10.1016/j.conengprac.2020.104630
Trabalho de evento
Effective deep reinforcement learning setups for multiple goals on visual navigation (2020)
Horita, Luiz Ricardo Takeshi ; Wolf, Denis Fernando ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: ICMC, EESC
Subjects: ALGORITMOS, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORITA, Luiz Ricardo Takeshi e WOLF, Denis Fernando e GRASSI JÚNIOR, Valdir. Effective deep reinforcement learning setups for multiple goals on visual navigation. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206917. Acesso em: 17 jun. 2024.
APA
Horita, L. R. T., Wolf, D. F., & Grassi Júnior, V. (2020). Effective deep reinforcement learning setups for multiple goals on visual navigation. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206917
NLM
Horita LRT, Wolf DF, Grassi Júnior V. Effective deep reinforcement learning setups for multiple goals on visual navigation [Internet]. Proceedings. 2020 ;[citado 2024 jun. 17 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917
Vancouver
Horita LRT, Wolf DF, Grassi Júnior V. Effective deep reinforcement learning setups for multiple goals on visual navigation [Internet]. Proceedings. 2020 ;[citado 2024 jun. 17 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917
Trabalho de evento
A survey on the aspects of human-robot interaction in autonomous vehicles (2020)
Rosa, Nícolas dos Santos ; Romero, Roseli Aparecida Francelin ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: ICMC, EESC
Subjects: INTERAÇÃO HOMEM-MÁQUINA, VEÍCULOS AUTÔNOMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSA, Nícolas dos Santos e ROMERO, Roseli Aparecida Francelin e GRASSI JÚNIOR, Valdir. A survey on the aspects of human-robot interaction in autonomous vehicles. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046. Acesso em: 17 jun. 2024.
APA
Rosa, N. dos S., Romero, R. A. F., & Grassi Júnior, V. (2020). A survey on the aspects of human-robot interaction in autonomous vehicles. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE51543.2020.9307046
NLM
Rosa N dos S, Romero RAF, Grassi Júnior V. A survey on the aspects of human-robot interaction in autonomous vehicles [Internet]. Proceedings. 2020 ;[citado 2024 jun. 17 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046
Vancouver
Rosa N dos S, Romero RAF, Grassi Júnior V. A survey on the aspects of human-robot interaction in autonomous vehicles [Internet]. Proceedings. 2020 ;[citado 2024 jun. 17 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046
Trabalho de evento
Depth completion with morphological operations: an intermediate approach to enhance monocular depth estimation (2020)
Mendes, Raul de Queiroz; Ribeiro, Eduardo Godinho; Rosa, Nícolas dos Santos ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, REDES NEURAIS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDES, Raul de Queiroz et al. Depth completion with morphological operations: an intermediate approach to enhance monocular depth estimation. 2020, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2020. Disponível em: https://dx.doi.org/10.1109/LARS/SBR/WRE51543.2020.9307124. Acesso em: 17 jun. 2024.
APA
Mendes, R. de Q., Ribeiro, E. G., Rosa, N. dos S., & Grassi Júnior, V. (2020). Depth completion with morphological operations: an intermediate approach to enhance monocular depth estimation. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE51543.2020.9307124
NLM
Mendes R de Q, Ribeiro EG, Rosa N dos S, Grassi Júnior V. Depth completion with morphological operations: an intermediate approach to enhance monocular depth estimation [Internet]. Proceedings. 2020 ;[citado 2024 jun. 17 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE51543.2020.9307124
Vancouver
Mendes R de Q, Ribeiro EG, Rosa N dos S, Grassi Júnior V. Depth completion with morphological operations: an intermediate approach to enhance monocular depth estimation [Internet]. Proceedings. 2020 ;[citado 2024 jun. 17 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE51543.2020.9307124

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