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Trabalho de evento
Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles (2019)
Bruno, Diego Renan ; Gomes, Iago Pachêco ; Osório, Fernando Santos ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: ACIDENTES DE TRÂNSITO, SINALIZAÇÃO DE TRÁFEGO, ROBÓTICA, IMAGEM 3D
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan et al. Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024. Acesso em: 10 nov. 2024.
APA
Bruno, D. R., Gomes, I. P., Osório, F. S., & Wolf, D. F. (2019). Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS-SBR-WRE48964.2019.00024
NLM
Bruno DR, Gomes IP, Osório FS, Wolf DF. Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles [Internet]. Proceedings. 2019 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024
Vancouver
Bruno DR, Gomes IP, Osório FS, Wolf DF. Advanced Driver Assistance System based on NeuroFSM applied in the detection of autonomous human faults and support to semi-autonomous control for robotic vehicles [Internet]. Proceedings. 2019 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024
Trabalho de evento
Visual attention system based on Fuzzy Classifier to define priority of traffic signs for intelligent robotic vehicle navigation purposes (2019)
Bruno, Diego Renan ; Osório, Fernando Santos
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: ICMC
Subjects: LÓGICA FUZZY, SINALIZAÇÃO DE TRÁFEGO, VEÍCULOS AUTÔNOMOS, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. Visual attention system based on Fuzzy Classifier to define priority of traffic signs for intelligent robotic vehicle navigation purposes. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICAR46387.2019.8981546. Acesso em: 10 nov. 2024.
APA
Bruno, D. R., & Osório, F. S. (2019). Visual attention system based on Fuzzy Classifier to define priority of traffic signs for intelligent robotic vehicle navigation purposes. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR46387.2019.8981546
NLM
Bruno DR, Osório FS. Visual attention system based on Fuzzy Classifier to define priority of traffic signs for intelligent robotic vehicle navigation purposes [Internet]. Proceedings. 2019 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981546
Vancouver
Bruno DR, Osório FS. Visual attention system based on Fuzzy Classifier to define priority of traffic signs for intelligent robotic vehicle navigation purposes [Internet]. Proceedings. 2019 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981546
Trabalho de evento
Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning (2018)
Bruno, Diego Renan; Sales, Daniel Oliva; Amaro, Jean; Osório, Fernando Santos
Source: Proceedings. Conference titles: IEEE World Congress on Computational Intelligence - WCCI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, SINALIZAÇÃO DE TRÁFEGO, RECONHECIMENTO DE IMAGEM, VEÍCULOS GUIADOS REMOTAMENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan et al. Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489538. Acesso em: 10 nov. 2024.
APA
Bruno, D. R., Sales, D. O., Amaro, J., & Osório, F. S. (2018). Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489538
NLM
Bruno DR, Sales DO, Amaro J, Osório FS. Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning [Internet]. Proceedings. 2018 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489538
Vancouver
Bruno DR, Sales DO, Amaro J, Osório FS. Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning [Internet]. Proceedings. 2018 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489538

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