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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
Fonte: Neurocomputing. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, MÉTODOS DE PREVISÃO E CORREÇÃO, TRAJETÓRIA, TOMADA DE DECISÃO
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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: 28 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. 28 ] 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. 28 ] 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
Fonte: Expert Systems With Applications. Unidade: ICMC
Assuntos: COMPORTAMENTO, REDES NEURAIS, VEÍCULOS AUTÔNOMOS, AMBIENTES URBANOS
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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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1016/j.eswa.2025.126485
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
Fonte: Sensors. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, SIMULAÇÃO, DIREÇÃO VEICULAR, SEGURANÇA VEICULAR
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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: 28 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. 28 ] 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. 28 ] 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
Fonte: Journal of Control, Automation and Electrical Systems. Unidades: EESC, ICMC
Assuntos: TRAJETÓRIA, VEÍCULOS AUTÔNOMOS, CAMINHÕES, ENGENHARIA ELÉTRICA
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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: 28 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. 28 ] 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. 28 ] 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
Fonte: Neurocomputing. Unidade: ICMC
Assuntos: 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: 28 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. 28 ] 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. 28 ] 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
Fonte: IEEE Transactions on Intelligent Transportation Systems. Unidades: ICMC, EESC
Assuntos: 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: 28 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. 28 ] 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. 28 ] 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
Fonte: International Journal of Control. Unidades: EESC, ICMC
Assuntos: 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: 28 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. 28 ] 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. 28 ] 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
Fonte: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Assuntos: 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: 28 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. 28 ] 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. 28 ] 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)
Fonte: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Assunto: ROBÓTICA
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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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1007/s10846-021-01460-9
Artigo de periodico
Scene compliant trajectory forecast with agent-centric spatio-temporal grids (2020)
Ridel, Daniela Alves ; Deo, Nachiket; Wolf, Denis Fernando ; Trivedi, Mohan
Fonte: IEEE Robotics and Automation Letters. Unidade: ICMC
Assuntos: ANÁLISE DE TRAJETÓRIAS, GEOMETRIA E MODELAGEM COMPUTACIONAL
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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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1109/LRA.2020.2974393
Artigo de periodico
Monte Carlo localization on gaussian process occupancy maps for urban environments (2018)
Hata, Alberto Y; Ramos, Fabio T.; Wolf, Denis Fernando
Fonte: IEEE Transactions on Intelligent Transportation Systems. Unidade: ICMC
Assuntos: PROCESSOS GAUSSIANOS, MÉTODO DE MONTE CARLO, ROBÔS, APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO MÓVEL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HATA, Alberto Y e RAMOS, Fabio T. e WOLF, Denis Fernando. Monte Carlo localization on gaussian process occupancy maps for urban environments. IEEE Transactions on Intelligent Transportation Systems, v. 19, n. 9, p. 2893-2902, 2018Tradução . . Disponível em: https://doi.org/10.1109/TITS.2017.2761774. Acesso em: 28 nov. 2025.
APA
Hata, A. Y., Ramos, F. T., & Wolf, D. F. (2018). Monte Carlo localization on gaussian process occupancy maps for urban environments. IEEE Transactions on Intelligent Transportation Systems, 19( 9), 2893-2902. doi:10.1109/TITS.2017.2761774
NLM
Hata AY, Ramos FT, Wolf DF. Monte Carlo localization on gaussian process occupancy maps for urban environments [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2018 ; 19( 9): 2893-2902.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TITS.2017.2761774
Vancouver
Hata AY, Ramos FT, Wolf DF. Monte Carlo localization on gaussian process occupancy maps for urban environments [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2018 ; 19( 9): 2893-2902.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TITS.2017.2761774
Artigo de periodico
Safe optimization of highway traffic with robust model predictive control-based cooperative adaptive cruise control (2017)
Massera Filho, Carlos; Terra, Marco Henrique ; Wolf, Denis Fernando
Fonte: IEEE Transactions on Intelligent Transportation Systems. Unidades: EESC, ICMC
Assuntos: VEÍCULOS, CONTROLE ÓTIMO, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MASSERA FILHO, Carlos e TERRA, Marco Henrique e WOLF, Denis Fernando. Safe optimization of highway traffic with robust model predictive control-based cooperative adaptive cruise control. IEEE Transactions on Intelligent Transportation Systems, v. No 2017, n. 11, p. 3193-3203, 2017Tradução . . Disponível em: https://doi.org/10.1109/TITS.2017.2679098. Acesso em: 28 nov. 2025.
APA
Massera Filho, C., Terra, M. H., & Wolf, D. F. (2017). Safe optimization of highway traffic with robust model predictive control-based cooperative adaptive cruise control. IEEE Transactions on Intelligent Transportation Systems, No 2017( 11), 3193-3203. doi:10.1109/TITS.2017.2679098
NLM
Massera Filho C, Terra MH, Wolf DF. Safe optimization of highway traffic with robust model predictive control-based cooperative adaptive cruise control [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2017 ; No 2017( 11): 3193-3203.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TITS.2017.2679098
Vancouver
Massera Filho C, Terra MH, Wolf DF. Safe optimization of highway traffic with robust model predictive control-based cooperative adaptive cruise control [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2017 ; No 2017( 11): 3193-3203.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TITS.2017.2679098
Artigo de periodico
Feature detection for vehicle localization in urban environments using a multilayer LIDAR (2016)
Hata, Alberto Y; Wolf, Denis Fernando
Fonte: IEEE Transactions on Intelligent Transportation Systems. Unidade: ICMC
Assuntos: ROBÓTICA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HATA, Alberto Y e WOLF, Denis Fernando. Feature detection for vehicle localization in urban environments using a multilayer LIDAR. IEEE Transactions on Intelligent Transportation Systems, v. Fe 2016, n. 2, p. 420-429, 2016Tradução . . Disponível em: https://doi.org/10.1109/TITS.2015.2477817. Acesso em: 28 nov. 2025.
APA
Hata, A. Y., & Wolf, D. F. (2016). Feature detection for vehicle localization in urban environments using a multilayer LIDAR. IEEE Transactions on Intelligent Transportation Systems, Fe 2016( 2), 420-429. doi:10.1109/TITS.2015.2477817
NLM
Hata AY, Wolf DF. Feature detection for vehicle localization in urban environments using a multilayer LIDAR [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2016 ; Fe 2016( 2): 420-429.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TITS.2015.2477817
Vancouver
Hata AY, Wolf DF. Feature detection for vehicle localization in urban environments using a multilayer LIDAR [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2016 ; Fe 2016( 2): 420-429.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/TITS.2015.2477817

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