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Artigo de periodico
A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving (2025)
Gomes, Iago Pachêco ; Wolf, Denis Fernando
Source: Neurocomputing. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, MÉTODOS DE PREVISÃO E CORREÇÃO, TRAJETÓRIA, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Iago Pachêco e WOLF, Denis Fernando. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving. Neurocomputing, v. 651, p. 1-19, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2025.131014. Acesso em: 27 nov. 2025.
APA
Gomes, I. P., & Wolf, D. F. (2025). A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving. Neurocomputing, 651, 1-19. doi:10.1016/j.neucom.2025.131014
NLM
Gomes IP, Wolf DF. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving [Internet]. Neurocomputing. 2025 ; 651 1-19.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2025.131014
Vancouver
Gomes IP, Wolf DF. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving [Internet]. Neurocomputing. 2025 ; 651 1-19.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2025.131014
Artigo de periodico
Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads (2025)
Gomes, Iago Pachêco ; Premebida, Cristiano ; Wolf, Denis Fernando
Source: Expert Systems With Applications. Unidade: ICMC
Subjects: COMPORTAMENTO, REDES NEURAIS, VEÍCULOS AUTÔNOMOS, AMBIENTES URBANOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Iago Pachêco e PREMEBIDA, Cristiano e WOLF, Denis Fernando. Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads. Expert Systems With Applications, v. 270, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2025.126485. Acesso em: 27 nov. 2025.
APA
Gomes, I. P., Premebida, C., & Wolf, D. F. (2025). Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads. Expert Systems With Applications, 270, 1-12. doi:10.1016/j.eswa.2025.126485
NLM
Gomes IP, Premebida C, Wolf DF. Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads [Internet]. Expert Systems With Applications. 2025 ; 270 1-12.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2025.126485
Vancouver
Gomes IP, Premebida C, Wolf DF. Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads [Internet]. Expert Systems With Applications. 2025 ; 270 1-12.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.eswa.2025.126485
Artigo de periodico
Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving (2024)
Silva, Júnior Anderson Rodrigues da ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: IEEE Transactions on Intelligent Transportation Systems. Unidades: EESC, ICMC
Subjects: VEÍCULOS AUTÔNOMOS, TOMADA DE DECISÃO, VEÍCULOS AUTÔNOMOS, TOMADA DE DECISÃO, MÉTODOS MCMC
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Júnior Anderson Rodrigues da e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving. IEEE Transactions on Intelligent Transportation Systems, v. 25, n. 9, p. 11552-11562, 2024Tradução . . Disponível em: https://doi.org/10.1109/TITS.2024.3363497. Acesso em: 27 nov. 2025.
APA
Silva, J. A. R. da, Grassi Júnior, V., & Wolf, D. F. (2024). Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving. IEEE Transactions on Intelligent Transportation Systems, 25( 9), 11552-11562. doi:10.1109/TITS.2024.3363497
NLM
Silva JAR da, Grassi Júnior V, Wolf DF. Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2024 ; 25( 9): 11552-11562.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TITS.2024.3363497
Vancouver
Silva JAR da, Grassi Júnior V, Wolf DF. Maximum entropy inverse reinforcement learning using Monte Carlo tree search for autonomous driving [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2024 ; 25( 9): 11552-11562.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TITS.2024.3363497
Artigo de periodico
Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems (2024)
Rosero, Luis Alberto Rosero ; Gomes, Iago Pachêco ; Silva, Júnior Anderson Rodrigues da ; Przewodowski Filho, Carlos Andre Braile ; Wolf, Denis Fernando ; Osório, Fernando Santos
Source: Sensors. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, SIMULAÇÃO, DIREÇÃO VEICULAR, SEGURANÇA VEICULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSERO, Luis Alberto Rosero et al. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems. Sensors, v. 24, n. 7, p. 1-30, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24072097. Acesso em: 27 nov. 2025.
APA
Rosero, L. A. R., Gomes, I. P., Silva, J. A. R. da, Przewodowski Filho, C. A. B., Wolf, D. F., & Osório, F. S. (2024). Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems. Sensors, 24( 7), 1-30. doi:10.3390/s24072097
NLM
Rosero LAR, Gomes IP, Silva JAR da, Przewodowski Filho CAB, Wolf DF, Osório FS. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems [Internet]. Sensors. 2024 ; 24( 7): 1-30.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/s24072097
Vancouver
Rosero LAR, Gomes IP, Silva JAR da, Przewodowski Filho CAB, Wolf DF, Osório FS. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems [Internet]. Sensors. 2024 ; 24( 7): 1-30.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/s24072097
Artigo de periodico
Autonomous driving of trucks in off-road environment (2023)
Caldas, Kenny Anderson Queiroz; Barbosa, Filipe Marques; Silva, Junior A. R.; Santos, Tiago C.; Gomes, Iago P.; Rosero, Luis A.; Wolf, Denis Fernando ; Grassi Júnior, Valdir
Source: Journal of Control, Automation and Electrical Systems. Unidades: EESC, ICMC
Subjects: TRAJETÓRIA, VEÍCULOS AUTÔNOMOS, CAMINHÕES, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALDAS, Kenny Anderson Queiroz et al. Autonomous driving of trucks in off-road environment. Journal of Control, Automation and Electrical Systems, v. 34, p. 1179-1193, 2023Tradução . . Disponível em: http://dx.doi.org/10.1007/s40313-023-01041-1. Acesso em: 27 nov. 2025.
APA
Caldas, K. A. Q., Barbosa, F. M., Silva, J. A. R., Santos, T. C., Gomes, I. P., Rosero, L. A., et al. (2023). Autonomous driving of trucks in off-road environment. Journal of Control, Automation and Electrical Systems, 34, 1179-1193. doi:10.1007/s40313-023-01041-1
NLM
Caldas KAQ, Barbosa FM, Silva JAR, Santos TC, Gomes IP, Rosero LA, Wolf DF, Grassi Júnior V. Autonomous driving of trucks in off-road environment [Internet]. Journal of Control, Automation and Electrical Systems. 2023 ; 34 1179-1193.[citado 2025 nov. 27 ] Available from: http://dx.doi.org/10.1007/s40313-023-01041-1
Vancouver
Caldas KAQ, Barbosa FM, Silva JAR, Santos TC, Gomes IP, Rosero LA, Wolf DF, Grassi Júnior V. Autonomous driving of trucks in off-road environment [Internet]. Journal of Control, Automation and Electrical Systems. 2023 ; 34 1179-1193.[citado 2025 nov. 27 ] Available from: http://dx.doi.org/10.1007/s40313-023-01041-1
Artigo de periodico
Leveraging convergence behavior to balance conflicting tasks in multitask learning (2022)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Neurocomputing. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, v. 511, p. 43-53, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2022.09.042. Acesso em: 27 nov. 2025.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2022). Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, 511, 43-53. doi:10.1016/j.neucom.2022.09.042
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2022.09.042
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2022.09.042
Artigo de periodico
Leveraging convergence behavior to balance conflicting tasks in multitask learning (2022)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Neurocomputing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, v. 511, p. 43-53, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2022.09.042. Acesso em: 27 nov. 2025.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2022). Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, 511, 43-53. doi:10.1016/j.neucom.2022.09.042
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2022.09.042
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.neucom.2022.09.042
Artigo de periodico
Sparse road network model for autonomous navigation using clothoids (2022)
Silva, Júnior Anderson Rodrigues da ; Gomes, Iago Pachêco ; Wolf, Denis Fernando ; Grassi Júnior, Valdir
Source: IEEE Transactions on Intelligent Transportation Systems. Unidades: ICMC, EESC
Subjects: VEÍCULOS AUTÔNOMOS, TRÁFEGO RODOVIÁRIO, ANÁLISE DE TRAJETÓRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Júnior Anderson Rodrigues da et al. Sparse road network model for autonomous navigation using clothoids. IEEE Transactions on Intelligent Transportation Systems, v. 23, n. 2, p. 885-898, 2022Tradução . . Disponível em: https://doi.org/10.1109/TITS.2020.3016620. Acesso em: 27 nov. 2025.
APA
Silva, J. A. R. da, Gomes, I. P., Wolf, D. F., & Grassi Júnior, V. (2022). Sparse road network model for autonomous navigation using clothoids. IEEE Transactions on Intelligent Transportation Systems, 23( 2), 885-898. doi:10.1109/TITS.2020.3016620
NLM
Silva JAR da, Gomes IP, Wolf DF, Grassi Júnior V. Sparse road network model for autonomous navigation using clothoids [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2022 ; 23( 2): 885-898.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TITS.2020.3016620
Vancouver
Silva JAR da, Gomes IP, Wolf DF, Grassi Júnior V. Sparse road network model for autonomous navigation using clothoids [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2022 ; 23( 2): 885-898.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TITS.2020.3016620
Artigo de periodico
Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties (2021)
Massera Filho, Carlos Alberto de Magalhães ; Terra, Marco Henrique ; Wolf, Denis Fernando
Source: International Journal of Control. Unidades: EESC, ICMC
Subjects: CONTROLE (TEORIA DE SISTEMAS E CONTROLE), CONTROLE ÓTIMO, SISTEMAS LINEARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASSERA FILHO, Carlos Alberto de Magalhães e TERRA, Marco Henrique e WOLF, Denis Fernando. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties. International Journal of Control, v. 94, n. 4, p. 1132-1142, 2021Tradução . . Disponível em: https://doi.org/10.1080/00207179.2019.1634838. Acesso em: 27 nov. 2025.
APA
Massera Filho, C. A. de M., Terra, M. H., & Wolf, D. F. (2021). Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties. International Journal of Control, 94( 4), 1132-1142. doi:10.1080/00207179.2019.1634838
NLM
Massera Filho CA de M, Terra MH, Wolf DF. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties [Internet]. International Journal of Control. 2021 ; 94( 4): 1132-1142.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/00207179.2019.1634838
Vancouver
Massera Filho CA de M, Terra MH, Wolf DF. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties [Internet]. International Journal of Control. 2021 ; 94( 4): 1132-1142.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1080/00207179.2019.1634838
Artigo de periodico
An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation (2021)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Subjects: TOMADA DE DECISÃO, ANÁLISE DE DESEMPENHO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, v. 100, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2021.104205. Acesso em: 27 nov. 2025.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2021). An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, 100, 1-10. doi:10.1016/j.engappai.2021.104205
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
Artigo de periodico-carta/editorial
ICAR 2019 Special Issue [Editorial] (2021)
Pereira, Guilherme A. S (Editor) ; Drews Junior, Paulo L. J (Editor) ; Wolf, Denis Fernando (Editor) ; Mattos, Leonardo S (Editor)
Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Assunto: ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ICAR 2019 Special Issue [Editorial]. Journal of Intelligent & Robotic Systems. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10846-021-01460-9. Acesso em: 27 nov. 2025. , 2021
APA
ICAR 2019 Special Issue [Editorial]. (2021). ICAR 2019 Special Issue [Editorial]. Journal of Intelligent & Robotic Systems. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/s10846-021-01460-9
NLM
ICAR 2019 Special Issue [Editorial] [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 102 1-2.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10846-021-01460-9
Vancouver
ICAR 2019 Special Issue [Editorial] [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 102 1-2.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10846-021-01460-9
Artigo de periodico
Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis (2021)
Gomes, Iago Pachêco ; Wolf, Denis Fernando
Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, FALHAS COMPUTACIONAIS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Iago Pachêco e WOLF, Denis Fernando. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, v. 101, n. Ja 2021, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10846-020-01293-y. Acesso em: 27 nov. 2025.
APA
Gomes, I. P., & Wolf, D. F. (2021). Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, 101( Ja 2021), 1-21. doi:10.1007/s10846-020-01293-y
NLM
Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10846-020-01293-y
Vancouver
Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10846-020-01293-y
Artigo de periodico
Scene compliant trajectory forecast with agent-centric spatio-temporal grids (2020)
Ridel, Daniela Alves ; Deo, Nachiket; Wolf, Denis Fernando ; Trivedi, Mohan
Source: IEEE Robotics and Automation Letters. Unidade: ICMC
Subjects: ANÁLISE DE TRAJETÓRIAS, GEOMETRIA E MODELAGEM COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIDEL, Daniela Alves et al. Scene compliant trajectory forecast with agent-centric spatio-temporal grids. IEEE Robotics and Automation Letters, v. 5, n. 2, p. 2816-2823, 2020Tradução . . Disponível em: https://doi.org/10.1109/LRA.2020.2974393. Acesso em: 27 nov. 2025.
APA
Ridel, D. A., Deo, N., Wolf, D. F., & Trivedi, M. (2020). Scene compliant trajectory forecast with agent-centric spatio-temporal grids. IEEE Robotics and Automation Letters, 5( 2), 2816-2823. doi:10.1109/LRA.2020.2974393
NLM
Ridel DA, Deo N, Wolf DF, Trivedi M. Scene compliant trajectory forecast with agent-centric spatio-temporal grids [Internet]. IEEE Robotics and Automation Letters. 2020 ; 5( 2): 2816-2823.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/LRA.2020.2974393
Vancouver
Ridel DA, Deo N, Wolf DF, Trivedi M. Scene compliant trajectory forecast with agent-centric spatio-temporal grids [Internet]. IEEE Robotics and Automation Letters. 2020 ; 5( 2): 2816-2823.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/LRA.2020.2974393
Artigo de periodico
Adaptive finite state machine based visual autonomous navigation system (2014)
Sales, Daniel Oliva; Correa, Diogo O; Fernandes, Leandro C; Wolf, Denis Fernando ; Osório, Fernando Santos
Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALES, Daniel Oliva et al. Adaptive finite state machine based visual autonomous navigation system. Engineering Applications of Artificial Intelligence, v. 29, p. 152-162, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2013.12.006. Acesso em: 27 nov. 2025.
APA
Sales, D. O., Correa, D. O., Fernandes, L. C., Wolf, D. F., & Osório, F. S. (2014). Adaptive finite state machine based visual autonomous navigation system. Engineering Applications of Artificial Intelligence, 29, 152-162. doi:10.1016/j.engappai.2013.12.006
NLM
Sales DO, Correa DO, Fernandes LC, Wolf DF, Osório FS. Adaptive finite state machine based visual autonomous navigation system [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; 29 152-162.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2013.12.006
Vancouver
Sales DO, Correa DO, Fernandes LC, Wolf DF, Osório FS. Adaptive finite state machine based visual autonomous navigation system [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; 29 152-162.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.engappai.2013.12.006
Artigo de periodico
Investigation on the evolution of a robotic controller for autonomous vehicle navigation (2014)
Pessin, Gustavo ; Souza, Jefferson Rodrigo de; Osório, Fernando Santos ; Faiçal, Bruno Squizato ; Rocha Filho, Geraldo Pereira ; Ueyama, Jó ; Vargas, Patrícia A; Wolf, Denis Fernando
Source: Journal of Intelligent and Fuzzy Systems. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PESSIN, Gustavo et al. Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent and Fuzzy Systems, v. 27, n. 6, p. 3047-3058, 2014Tradução . . Disponível em: https://doi.org/10.3233/IFS-141262. Acesso em: 27 nov. 2025.
APA
Pessin, G., Souza, J. R. de, Osório, F. S., Faiçal, B. S., Rocha Filho, G. P., Ueyama, J., et al. (2014). Investigation on the evolution of a robotic controller for autonomous vehicle navigation. Journal of Intelligent and Fuzzy Systems, 27( 6), 3047-3058. doi:10.3233/IFS-141262
NLM
Pessin G, Souza JR de, Osório FS, Faiçal BS, Rocha Filho GP, Ueyama J, Vargas PA, Wolf DF. Investigation on the evolution of a robotic controller for autonomous vehicle navigation [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 27( 6): 3047-3058.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3233/IFS-141262
Vancouver
Pessin G, Souza JR de, Osório FS, Faiçal BS, Rocha Filho GP, Ueyama J, Vargas PA, Wolf DF. Investigation on the evolution of a robotic controller for autonomous vehicle navigation [Internet]. Journal of Intelligent and Fuzzy Systems. 2014 ; 27( 6): 3047-3058.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3233/IFS-141262

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