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Trabalho de evento
A comparison of traffic signs detection methods in 2D and 3D images for the benefit of the navigation of autonomous vehicles (2018)
Bruno, Diego Renan; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotic Symposium - LARS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. A comparison of traffic signs detection methods in 2D and 3D images for the benefit of the navigation of autonomous vehicles. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE.2018.00015. Acesso em: 22 jan. 2026.
APA
Bruno, D. R., & Osório, F. S. (2018). A comparison of traffic signs detection methods in 2D and 3D images for the benefit of the navigation of autonomous vehicles. In Proceedings. Los Alamitos: IEEE. doi:10.1109/LARS/SBR/WRE.2018.00015
NLM
Bruno DR, Osório FS. A comparison of traffic signs detection methods in 2D and 3D images for the benefit of the navigation of autonomous vehicles [Internet]. Proceedings. 2018 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00015
Vancouver
Bruno DR, Osório FS. A comparison of traffic signs detection methods in 2D and 3D images for the benefit of the navigation of autonomous vehicles [Internet]. Proceedings. 2018 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE.2018.00015
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: 22 jan. 2026.
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 2026 jan. 22 ] 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 2026 jan. 22 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489538
Trabalho de evento
Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes (2017)
Bruno, Diego Renan; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes. 2017, Anais.. Piscataway, NJ: IEEE, 2017. Disponível em: https://doi.org/10.1109/SBR-LARS-R.2017.8215287. Acesso em: 22 jan. 2026.
APA
Bruno, D. R., & Osório, F. S. (2017). Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/SBR-LARS-R.2017.8215287
NLM
Bruno DR, Osório FS. Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes [Internet]. Proceedings. 2017 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215287
Vancouver
Bruno DR, Osório FS. Image classification system based on deep learning applied to the recognition of traffic signs for intelligent robotic vehicle navigation purposes [Internet]. Proceedings. 2017 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1109/SBR-LARS-R.2017.8215287

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