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Trabalho de evento
Learning to estimate multivariate uncertainty in deep pedestrian trajectory prediction (2023)
Castro, Augusto Ribeiro; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, TRAJETÓRIA, ENGENHARIA ELÉTRICA
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ABNT
CASTRO, Augusto Ribeiro e GRASSI JÚNIOR, Valdir. Learning to estimate multivariate uncertainty in deep pedestrian trajectory prediction. 2023, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2023. Disponível em: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333011. Acesso em: 03 nov. 2024.
APA
Castro, A. R., & Grassi Júnior, V. (2023). Learning to estimate multivariate uncertainty in deep pedestrian trajectory prediction. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE59448.2023.10333011
NLM
Castro AR, Grassi Júnior V. Learning to estimate multivariate uncertainty in deep pedestrian trajectory prediction [Internet]. Proceedings. 2023 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333011
Vancouver
Castro AR, Grassi Júnior V. Learning to estimate multivariate uncertainty in deep pedestrian trajectory prediction [Internet]. Proceedings. 2023 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333011
Trabalho de evento
Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement (2022)
Castro, Augusto Ribeiro ; Grassi Júnior, Valdir ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
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ABNT
CASTRO, Augusto Ribeiro e GRASSI JÚNIOR, Valdir e PONTI, Moacir Antonelli. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010915300003124. Acesso em: 03 nov. 2024.
APA
Castro, A. R., Grassi Júnior, V., & Ponti, M. A. (2022). Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010915300003124
NLM
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.5220/0010915300003124
Vancouver
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.5220/0010915300003124
Trabalho de evento
Semantic SuperPoint: a deep semantic descriptor (2022)
Gama, Gabriel Soares; Rosa, Nícolas dos Santos ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: EESC, EESC E ICMC
Subjects: VISÃO COMPUTACIONAL, ROBÓTICA, ENGENHARIA MECÂNICA
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ABNT
GAMA, Gabriel Soares e ROSA, Nícolas dos Santos e GRASSI JÚNIOR, Valdir. Semantic SuperPoint: a deep semantic descriptor. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027. Acesso em: 03 nov. 2024.
APA
Gama, G. S., Rosa, N. dos S., & Grassi Júnior, V. (2022). Semantic SuperPoint: a deep semantic descriptor. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9996027
NLM
Gama GS, Rosa N dos S, Grassi Júnior V. Semantic SuperPoint: a deep semantic descriptor [Internet]. Proceedings. 2022 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027
Vancouver
Gama GS, Rosa N dos S, Grassi Júnior V. Semantic SuperPoint: a deep semantic descriptor [Internet]. Proceedings. 2022 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027
Trabalho de evento
Pedestrian trajectory prediction with pose representation and latent space variables (2021)
Santos, Anderson Carlos dos; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: CIRCULAÇÃO DE PEDESTRES, TRAJETÓRIA, ENGENHARIA ELÉTRICA
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ABNT
SANTOS, Anderson Carlos dos e GRASSI JÚNIOR, Valdir. Pedestrian trajectory prediction with pose representation and latent space variables. 2021, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2021. Disponível em: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605473. Acesso em: 03 nov. 2024.
APA
Santos, A. C. dos, & Grassi Júnior, V. (2021). Pedestrian trajectory prediction with pose representation and latent space variables. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE54079.2021.9605473
NLM
Santos AC dos, Grassi Júnior V. Pedestrian trajectory prediction with pose representation and latent space variables [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605473
Vancouver
Santos AC dos, Grassi Júnior V. Pedestrian trajectory prediction with pose representation and latent space variables [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605473
Trabalho de evento
Addressing lane keeping and intersections using deep conditional reinforcement learning (2021)
Silva, Vitor Augusto Santos; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: APRENDIZAGEM PROFUNDA, ENGENHARIA ELÉTRICA
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ABNT
SILVA, Vitor Augusto Santos e GRASSI JÚNIOR, Valdir. Addressing lane keeping and intersections using deep conditional reinforcement learning. 2021, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2021. Disponível em: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605436. Acesso em: 03 nov. 2024.
APA
Silva, V. A. S., & Grassi Júnior, V. (2021). Addressing lane keeping and intersections using deep conditional reinforcement learning. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE54079.2021.9605436
NLM
Silva VAS, Grassi Júnior V. Addressing lane keeping and intersections using deep conditional reinforcement learning [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605436
Vancouver
Silva VAS, Grassi Júnior V. Addressing lane keeping and intersections using deep conditional reinforcement learning [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605436
Trabalho de evento
Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information (2021)
Silva, Júnior Anderson Rodrigues da ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Subjects: VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, PROCESSOS DE MARKOV
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ABNT
SILVA, Júnior Anderson Rodrigues da e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICAR53236.2021.9659406. Acesso em: 03 nov. 2024.
APA
Silva, J. A. R. da, Grassi Júnior, V., & Wolf, D. F. (2021). Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR53236.2021.9659406
NLM
Silva JAR da, Grassi Júnior V, Wolf DF. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659406
Vancouver
Silva JAR da, Grassi Júnior V, Wolf DF. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659406
Trabalho de evento
Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task (2021)
Horita, Luiz Ricardo Takeshi ; Nakamura, Angelica Tiemi Mizuno ; Wolf, Denis Fernando ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: ICMC, EESC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS
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ABNT
HORITA, Luiz Ricardo Takeshi et al. Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICAR53236.2021.9659467. Acesso em: 03 nov. 2024.
APA
Horita, L. R. T., Nakamura, A. T. M., Wolf, D. F., & Grassi Júnior, V. (2021). Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR53236.2021.9659467
NLM
Horita LRT, Nakamura ATM, Wolf DF, Grassi Júnior V. Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659467
Vancouver
Horita LRT, Nakamura ATM, Wolf DF, Grassi Júnior V. Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659467
Trabalho de evento
Bayesian optimization for efficient tuning of visual servo and computed torque controllers in a reinforcement learning scenario (2021)
Ribeiro, Eduardo Godinho; Mendes, Raul de Queiroz; Terra, Marco Henrique ; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: EESC
Subjects: SISTEMAS DE CONTROLE, INFERÊNCIA BAYESIANA, ENGENHARIA ELÉTRICA
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ABNT
RIBEIRO, Eduardo Godinho et al. Bayesian optimization for efficient tuning of visual servo and computed torque controllers in a reinforcement learning scenario. 2021, Anais.. Los Alamitos, CA, USA: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICAR53236.2021.9659363. Acesso em: 03 nov. 2024.
APA
Ribeiro, E. G., Mendes, R. de Q., Terra, M. H., & Grassi Júnior, V. (2021). Bayesian optimization for efficient tuning of visual servo and computed torque controllers in a reinforcement learning scenario. In Proceedings. Los Alamitos, CA, USA: IEEE. doi:10.1109/ICAR53236.2021.9659363
NLM
Ribeiro EG, Mendes R de Q, Terra MH, Grassi Júnior V. Bayesian optimization for efficient tuning of visual servo and computed torque controllers in a reinforcement learning scenario [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659363
Vancouver
Ribeiro EG, Mendes R de Q, Terra MH, Grassi Júnior V. Bayesian optimization for efficient tuning of visual servo and computed torque controllers in a reinforcement learning scenario [Internet]. Proceedings. 2021 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659363
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
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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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE51543.2020.9307124
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
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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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] 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
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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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046
Trabalho de evento
Fast convolutional neural network for real-time robotic grasp detection (2019)
Ribeiro, Eduardo Godinho; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: EESC
Subjects: REDES NEURAIS, ROBÓTICA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Eduardo Godinho e GRASSI JÚNIOR, Valdir. Fast convolutional neural network for real-time robotic grasp detection. 2019, Anais.. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://dx.doi.org/10.1109/ICAR46387.2019.8981651. Acesso em: 03 nov. 2024.
APA
Ribeiro, E. G., & Grassi Júnior, V. (2019). Fast convolutional neural network for real-time robotic grasp detection. In Proceedings. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ICAR46387.2019.8981651
NLM
Ribeiro EG, Grassi Júnior V. Fast convolutional neural network for real-time robotic grasp detection [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981651
Vancouver
Ribeiro EG, Grassi Júnior V. Fast convolutional neural network for real-time robotic grasp detection [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981651
Trabalho de evento
Sparse-to-continuous: enhancing monocular depth estimation using occupancy maps (2019)
Rosa, Nícolas dos Santos ; Guizilini, Vitor; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: EESC
Subjects: REDES NEURAIS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSA, Nícolas dos Santos e GUIZILINI, Vitor e GRASSI JÚNIOR, Valdir. Sparse-to-continuous: enhancing monocular depth estimation using occupancy maps. 2019, Anais.. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://dx.doi.org/10.1109/ICAR46387.2019.8981651. Acesso em: 03 nov. 2024.
APA
Rosa, N. dos S., Guizilini, V., & Grassi Júnior, V. (2019). Sparse-to-continuous: enhancing monocular depth estimation using occupancy maps. In Proceedings. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://dx.doi.org/10.1109/ICAR46387.2019.8981651
NLM
Rosa N dos S, Guizilini V, Grassi Júnior V. Sparse-to-continuous: enhancing monocular depth estimation using occupancy maps [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981651
Vancouver
Rosa N dos S, Guizilini V, Grassi Júnior V. Sparse-to-continuous: enhancing monocular depth estimation using occupancy maps [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981651
Trabalho de evento
Trajectory planning for a dual-arm planar free-floating manipulator using RRTControl (2019)
Serrantola, Wenderson Gustavo; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: EESC
Subjects: MANIPULADORES, TRAJETÓRIA, ENGENHARIA ELÉTRICA
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ABNT
SERRANTOLA, Wenderson Gustavo e GRASSI JÚNIOR, Valdir. Trajectory planning for a dual-arm planar free-floating manipulator using RRTControl. 2019, Anais.. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://dx.doi.org/10.1109/ICAR46387.2019.8981596. Acesso em: 03 nov. 2024.
APA
Serrantola, W. G., & Grassi Júnior, V. (2019). Trajectory planning for a dual-arm planar free-floating manipulator using RRTControl. In Proceedings. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ICAR46387.2019.8981596
NLM
Serrantola WG, Grassi Júnior V. Trajectory planning for a dual-arm planar free-floating manipulator using RRTControl [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981596
Vancouver
Serrantola WG, Grassi Júnior V. Trajectory planning for a dual-arm planar free-floating manipulator using RRTControl [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981596
Trabalho de evento
Eco-cruise NMPC control for autonomous vehicles (2019)
Caldas, Kenny Anderson Queiroz; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALDAS, Kenny Anderson Queiroz e GRASSI JÚNIOR, Valdir. Eco-cruise NMPC control for autonomous vehicles. 2019, Anais.. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://dx.doi.org/10.1109/ICAR46387.2019.8981639. Acesso em: 03 nov. 2024.
APA
Caldas, K. A. Q., & Grassi Júnior, V. (2019). Eco-cruise NMPC control for autonomous vehicles. In Proceedings. Los Alamitos, CA, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ICAR46387.2019.8981639
NLM
Caldas KAQ, Grassi Júnior V. Eco-cruise NMPC control for autonomous vehicles [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981639
Vancouver
Caldas KAQ, Grassi Júnior V. Eco-cruise NMPC control for autonomous vehicles [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://dx.doi.org/10.1109/ICAR46387.2019.8981639
Trabalho de evento
Continuous deep maximum entropy inverse reinforcement learning using online POMDP (2019)
Silva, Júnior Anderson Rodrigues; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Subjects: VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL
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ABNT
SILVA, Júnior Anderson Rodrigues e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Continuous deep maximum entropy inverse reinforcement learning using online POMDP. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICAR46387.2019.8981548. Acesso em: 03 nov. 2024.
APA
Silva, J. A. R., Grassi Júnior, V., & Wolf, D. F. (2019). Continuous deep maximum entropy inverse reinforcement learning using online POMDP. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR46387.2019.8981548
NLM
Silva JAR, Grassi Júnior V, Wolf DF. Continuous deep maximum entropy inverse reinforcement learning using online POMDP [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981548
Vancouver
Silva JAR, Grassi Júnior V, Wolf DF. Continuous deep maximum entropy inverse reinforcement learning using online POMDP [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981548
Trabalho de evento
Learning to race through coordinate descent bayesian optimisation (2018)
Oliveira, Rafael; Rocha, Fernando H. M.; Ott, Lionel; Guizilini, Vitor; Ramos, Fabio; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA. Unidade: EESC
Subjects: INFERÊNCIA BAYESIANA, VEÍCULOS AUTÔNOMOS, ENGENHARIA ELÉTRICA
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ABNT
OLIVEIRA, Rafael et al. Learning to race through coordinate descent bayesian optimisation. 2018, Anais.. Piscataway, NJ, USA: IEEE, 2018. Disponível em: https://doi.org/10.1109/ICRA.2018.8460735. Acesso em: 03 nov. 2024.
APA
Oliveira, R., Rocha, F. H. M., Ott, L., Guizilini, V., Ramos, F., & Grassi Júnior, V. (2018). Learning to race through coordinate descent bayesian optimisation. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/ICRA.2018.8460735
NLM
Oliveira R, Rocha FHM, Ott L, Guizilini V, Ramos F, Grassi Júnior V. Learning to race through coordinate descent bayesian optimisation [Internet]. Proceedings. 2018 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICRA.2018.8460735
Vancouver
Oliveira R, Rocha FHM, Ott L, Guizilini V, Ramos F, Grassi Júnior V. Learning to race through coordinate descent bayesian optimisation [Internet]. Proceedings. 2018 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICRA.2018.8460735
Trabalho de evento
Clothoid-based global path planning for autonomous vehicles in urban scenarios (2018)
Silva, Júnior Anderson Rodrigues da; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, TRAJETÓRIA, ENGENHARIA ELÉTRICA
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. Clothoid-based global path planning for autonomous vehicles in urban scenarios. 2018, Anais.. Piscataway, NJ, USA: IEEE, 2018. Disponível em: https://doi.org/10.1109/ICRA.2018.8461201. Acesso em: 03 nov. 2024.
APA
Silva, J. A. R. da, & Grassi Júnior, V. (2018). Clothoid-based global path planning for autonomous vehicles in urban scenarios. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/ICRA.2018.8461201
NLM
Silva JAR da, Grassi Júnior V. Clothoid-based global path planning for autonomous vehicles in urban scenarios [Internet]. Proceedings. 2018 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICRA.2018.8461201
Vancouver
Silva JAR da, Grassi Júnior V. Clothoid-based global path planning for autonomous vehicles in urban scenarios [Internet]. Proceedings. 2018 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/ICRA.2018.8461201
Trabalho de evento
Robust recursive lateral control for autonomous vehicles subject to parametric uncertainties (2017)
Barbosa, Filipe Marques; Marcos, Lucas Barbosa; Bueno, Jose Nuno; Grassi Júnior, Valdir; Terra, Marco Henrique
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: ROBÔS, ROBUSTEZ, SISTEMAS AUTÔNOMOS, VEÍCULOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARBOSA, Filipe Marques et al. Robust recursive lateral control for autonomous vehicles subject to parametric uncertainties. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215326. Acesso em: 03 nov. 2024.
APA
Barbosa, F. M., Marcos, L. B., Bueno, J. N., Grassi Júnior, V., & Terra, M. H. (2017). Robust recursive lateral control for autonomous vehicles subject to parametric uncertainties. In Proceedings. Piscataway: IEEE. doi:10.1109/SBR-LARS-R.2017.8215326
NLM
Barbosa FM, Marcos LB, Bueno JN, Grassi Júnior V, Terra MH. Robust recursive lateral control for autonomous vehicles subject to parametric uncertainties [Internet]. Proceedings. 2017 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215326
Vancouver
Barbosa FM, Marcos LB, Bueno JN, Grassi Júnior V, Terra MH. Robust recursive lateral control for autonomous vehicles subject to parametric uncertainties [Internet]. Proceedings. 2017 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215326
Trabalho de evento
Employing a fully convolutional neural network for road marking detection (2017)
Horita, Luiz Ricardo T.; Grassi Júnior, Valdir
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: RODOVIAS, ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORITA, Luiz Ricardo T. e GRASSI JÚNIOR, Valdir. Employing a fully convolutional neural network for road marking detection. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215297. Acesso em: 03 nov. 2024.
APA
Horita, L. R. T., & Grassi Júnior, V. (2017). Employing a fully convolutional neural network for road marking detection. In Proceedings. Piscataway: IEEE. doi:10.1109/SBR-LARS-R.2017.8215297
NLM
Horita LRT, Grassi Júnior V. Employing a fully convolutional neural network for road marking detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215297
Vancouver
Horita LRT, Grassi Júnior V. Employing a fully convolutional neural network for road marking detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215297

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