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Trabalho de evento
Improving U-Net with attention mechanism for medical image segmentation applications (2025)
Honorato, Eduardo Sperle ; Uchida, Mariana Aya Suzuki ; Traina, Agma Juci Machado ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Assuntos: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, DIAGNÓSTICO POR IMAGEM
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ABNT
HONORATO, Eduardo Sperle et al. Improving U-Net with attention mechanism for medical image segmentation applications. 2025, Anais.. Los Alamitos: IEEE, 2025. Disponível em: https://doi.org/10.1109/CBMS65348.2025.00060. Acesso em: 29 nov. 2025.
APA
Honorato, E. S., Uchida, M. A. S., Traina, A. J. M., & Wolf, D. F. (2025). Improving U-Net with attention mechanism for medical image segmentation applications. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS65348.2025.00060
NLM
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Vancouver
Honorato ES, Uchida MAS, Traina AJM, Wolf DF. Improving U-Net with attention mechanism for medical image segmentation applications [Internet]. Proceedings. 2025 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/CBMS65348.2025.00060
Trabalho de evento
Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms (2024)
Honorato, Eduardo Sperle ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, SEGURANÇA VEICULAR
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ABNT
HONORATO, Eduardo Sperle e WOLF, Denis Fernando. Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786434. Acesso em: 29 nov. 2025.
APA
Honorato, E. S., & Wolf, D. F. (2024). Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS64411.2024.10786434
NLM
Honorato ES, Wolf DF. Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms [Internet]. Proceedings. 2024 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786434
Vancouver
Honorato ES, Wolf DF. Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms [Internet]. Proceedings. 2024 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786434
Trabalho de evento
Out-of-distribution object detection in autonomous vehicles with Yolo model (2024)
Honorato, Eduardo Sperle ; Uchida, Mariana Aya Suzuki ; Silva, Thiago Henrique Segreto ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidades: ICMC, EESC
Assuntos: VEÍCULOS AUTÔNOMOS, ROBUSTEZ, RECEPTORES
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ABNT
HONORATO, Eduardo Sperle et al. Out-of-distribution object detection in autonomous vehicles with Yolo model. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786436. Acesso em: 29 nov. 2025.
APA
Honorato, E. S., Uchida, M. A. S., Silva, T. H. S., & Wolf, D. F. (2024). Out-of-distribution object detection in autonomous vehicles with Yolo model. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS64411.2024.10786436
NLM
Honorato ES, Uchida MAS, Silva THS, Wolf DF. Out-of-distribution object detection in autonomous vehicles with Yolo model [Internet]. Proceedings. 2024 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786436
Vancouver
Honorato ES, Uchida MAS, Silva THS, Wolf DF. Out-of-distribution object detection in autonomous vehicles with Yolo model [Internet]. Proceedings. 2024 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786436
Trabalho de evento
Late-fusion multimodal human detection based on RGB and thermal images for robotic perception (2023)
Sousa, Elísio ; Mota, Kennedy O. S ; Gomes, Iago Pachêco ; Garrote, Luís ; Wolf, Denis Fernando ; Premebida, Cristiano
Fonte: Proceedings. Nome do evento: European Conference on Mobile Robots - ECMR. Unidade: ICMC
Assuntos: RECONHECIMENTO DE IMAGEM, VEÍCULOS AUTÔNOMOS, APRENDIZAGEM PROFUNDA
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ABNT
SOUSA, Elísio et al. Late-fusion multimodal human detection based on RGB and thermal images for robotic perception. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ECMR59166.2023.10256301. Acesso em: 29 nov. 2025.
APA
Sousa, E., Mota, K. O. S., Gomes, I. P., Garrote, L., Wolf, D. F., & Premebida, C. (2023). Late-fusion multimodal human detection based on RGB and thermal images for robotic perception. In Proceedings. Piscataway: IEEE. doi:10.1109/ECMR59166.2023.10256301
NLM
Sousa E, Mota KOS, Gomes IP, Garrote L, Wolf DF, Premebida C. Late-fusion multimodal human detection based on RGB and thermal images for robotic perception [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ECMR59166.2023.10256301
Vancouver
Sousa E, Mota KOS, Gomes IP, Garrote L, Wolf DF, Premebida C. Late-fusion multimodal human detection based on RGB and thermal images for robotic perception [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ECMR59166.2023.10256301
Trabalho de evento
Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism (2023)
Gomes, Iago Pachêco ; Premebida, Cristiano ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: International Conference on Intelligent Transportation Systems - ITSC. Unidade: ICMC
Assuntos: PREDIÇÃO, TRÁFEGO RODOVIÁRIO, SISTEMAS INTELIGENTES DE TRANSPORTES
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ABNT
GOMES, Iago Pachêco e PREMEBIDA, Cristiano e WOLF, Denis Fernando. Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ITSC57777.2023.10421818. Acesso em: 29 nov. 2025.
APA
Gomes, I. P., Premebida, C., & Wolf, D. F. (2023). Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism. In Proceedings. Piscataway: IEEE. doi:10.1109/ITSC57777.2023.10421818
NLM
Gomes IP, Premebida C, Wolf DF. Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ITSC57777.2023.10421818
Vancouver
Gomes IP, Premebida C, Wolf DF. Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ITSC57777.2023.10421818
Trabalho de evento
Interaction-aware maneuver prediction for autonomous vehicles using interaction graphs (2023)
Gomes, Iago Pachêco ; Premebida, Cristiano ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, PREDIÇÃO, TOMADA DE DECISÃO
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ABNT
GOMES, Iago Pachêco e PREMEBIDA, Cristiano e WOLF, Denis Fernando. Interaction-aware maneuver prediction for autonomous vehicles using interaction graphs. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IV55152.2023.10186811. Acesso em: 29 nov. 2025.
APA
Gomes, I. P., Premebida, C., & Wolf, D. F. (2023). Interaction-aware maneuver prediction for autonomous vehicles using interaction graphs. In Proceedings. Piscataway: IEEE. doi:10.1109/IV55152.2023.10186811
NLM
Gomes IP, Premebida C, Wolf DF. Interaction-aware maneuver prediction for autonomous vehicles using interaction graphs [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IV55152.2023.10186811
Vancouver
Gomes IP, Premebida C, Wolf DF. Interaction-aware maneuver prediction for autonomous vehicles using interaction graphs [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IV55152.2023.10186811
Trabalho de evento
CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving (2022)
Rosero, Luis Alberto Rosero ; Silva, Júnior Anderson Rodrigues da ; Wolf, Denis Fernando ; Osório, Fernando Santos
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL
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ABNT
ROSERO, Luis Alberto Rosero et al. CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888. Acesso em: 29 nov. 2025.
APA
Rosero, L. A. R., Silva, J. A. R. da, Wolf, D. F., & Osório, F. S. (2022). CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995888
NLM
Rosero LAR, Silva JAR da, Wolf DF, Osório FS. CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888
Vancouver
Rosero LAR, Silva JAR da, Wolf DF, Osório FS. CNN-Planner: a neural path planner based on sensor fusion in the bird's eye view representation space for mapless autonomous driving [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888
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
Fonte: Proceedings. Nome do evento: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Assuntos: 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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] 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
Fonte: Proceedings. Nome do evento: International Conference on Advanced Robotics - ICAR. Unidades: ICMC, EESC
Assuntos: 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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659467
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
Fonte: Proceedings. Nome do evento: International Joint Conference on Neural Networks - IJCNN. Unidades: ICMC, EESC
Assuntos: 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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917
Trabalho de evento
Automated conflict resolution of lane change Utilizing probability collectives (2019)
Santos, Tiago Cesar dos; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: International Conference on Advanced Robotics - ICAR. Unidade: ICMC
Assuntos: SINALIZAÇÃO DE TRÁFEGO, WIRELESS, VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO
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ABNT
SANTOS, Tiago Cesar dos e WOLF, Denis Fernando. Automated conflict resolution of lane change Utilizing probability collectives. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICAR46387.2019.8981609. Acesso em: 29 nov. 2025.
APA
Santos, T. C. dos, & Wolf, D. F. (2019). Automated conflict resolution of lane change Utilizing probability collectives. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR46387.2019.8981609
NLM
Santos TC dos, Wolf DF. Automated conflict resolution of lane change Utilizing probability collectives [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981609
Vancouver
Santos TC dos, Wolf DF. Automated conflict resolution of lane change Utilizing probability collectives [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981609
Trabalho de evento
Evaluation of lane-merging approaches for connected vehicles (2019)
Santos, Tiago Cesar dos; Bruno, Diego Renan ; Osório, Fernando Santos ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, WIRELESS, CONTROLE DE TRÁFEGO, MOBILIDADE URBANA
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ABNT
SANTOS, Tiago Cesar dos et al. Evaluation of lane-merging approaches for connected vehicles. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8813802. Acesso em: 29 nov. 2025.
APA
Santos, T. C. dos, Bruno, D. R., Osório, F. S., & Wolf, D. F. (2019). Evaluation of lane-merging approaches for connected vehicles. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8813802
NLM
Santos TC dos, Bruno DR, Osório FS, Wolf DF. Evaluation of lane-merging approaches for connected vehicles [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8813802
Vancouver
Santos TC dos, Bruno DR, Osório FS, Wolf DF. Evaluation of lane-merging approaches for connected vehicles [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8813802
Trabalho de evento
A health monitoring system with hybrid bayesian network for autonomous vehicle (2019)
Gomes, Iago Pachêco ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: International Conference on Advanced Robotics - ICAR. Unidade: ICMC
Assuntos: FALHA, VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO
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ABNT
GOMES, Iago Pachêco e WOLF, Denis Fernando. A health monitoring system with hybrid bayesian network for autonomous vehicle. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICAR46387.2019.8981565. Acesso em: 29 nov. 2025.
APA
Gomes, I. P., & Wolf, D. F. (2019). A health monitoring system with hybrid bayesian network for autonomous vehicle. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR46387.2019.8981565
NLM
Gomes IP, Wolf DF. A health monitoring system with hybrid bayesian network for autonomous vehicle [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981565
Vancouver
Gomes IP, Wolf DF. A health monitoring system with hybrid bayesian network for autonomous vehicle [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981565
Trabalho de evento
VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal (2019)
Matias, Lucas Peres Nunes ; Sons, Marc; Souza, Jefferson Rodrigo de; Wolf, Denis Fernando ; Stiller, Christoph
Fonte: Proceedings. Nome do evento: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Assuntos: IMAGEM 3D, VISÃO COMPUTACIONAL, REDES NEURAIS, VEÍCULOS AUTÔNOMOS
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ABNT
MATIAS, Lucas Peres Nunes et al. VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8814157. Acesso em: 29 nov. 2025.
APA
Matias, L. P. N., Sons, M., Souza, J. R. de, Wolf, D. F., & Stiller, C. (2019). VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8814157
NLM
Matias LPN, Sons M, Souza JR de, Wolf DF, Stiller C. VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8814157
Vancouver
Matias LPN, Sons M, Souza JR de, Wolf DF, Stiller C. VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8814157
Trabalho de evento
Instance segmentation as image segmentation annotation (2019)
Watanabe, Thomio ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Assuntos: VISÃO COMPUTACIONAL, REDES NEURAIS, IMAGEM
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ABNT
WATANABE, Thomio e WOLF, Denis Fernando. Instance segmentation as image segmentation annotation. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8814026. Acesso em: 29 nov. 2025.
APA
Watanabe, T., & Wolf, D. F. (2019). Instance segmentation as image segmentation annotation. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8814026
NLM
Watanabe T, Wolf DF. Instance segmentation as image segmentation annotation [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8814026
Vancouver
Watanabe T, Wolf DF. Instance segmentation as image segmentation annotation [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8814026
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
Fonte: Proceedings. Nome do evento: Latin American Robotics Symposium - LARS. Unidade: ICMC
Assuntos: ACIDENTES DE TRÂNSITO, SINALIZAÇÃO DE TRÁFEGO, ROBÓTICA, IMAGEM 3D
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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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00024
Trabalho de evento
End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images (2019)
Amado, José Alberto Diaz; Gomes, Iago Pachêco ; Amaro, Jean; Wolf, Denis Fernando ; Osório, Fernando Santos
Fonte: Proceedings. Nome do evento: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Assuntos: SISTEMAS AUTÔNOMOS, IMAGEM, SIMULAÇÃO, CÂMERAS FOTOGRÁFICAS
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ABNT
AMADO, José Alberto Diaz et al. End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8813897. Acesso em: 29 nov. 2025.
APA
Amado, J. A. D., Gomes, I. P., Amaro, J., Wolf, D. F., & Osório, F. S. (2019). End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8813897
NLM
Amado JAD, Gomes IP, Amaro J, Wolf DF, Osório FS. End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8813897
Vancouver
Amado JAD, Gomes IP, Amaro J, Wolf DF, Osório FS. End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8813897
Trabalho de evento
Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis (2019)
Ridel, Daniela Alves; Deo, Nachiket; Wolf, Denis Fernando ; Trivedi, Mohan
Fonte: Proceedings. Nome do evento: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Assuntos: CIRCULAÇÃO DE PEDESTRES, VEÍCULOS AUTÔNOMOS, TRÁFEGO RODOVIÁRIO, ANÁLISE DE TRAJETÓRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIDEL, Daniela Alves et al. Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8813798. Acesso em: 29 nov. 2025.
APA
Ridel, D. A., Deo, N., Wolf, D. F., & Trivedi, M. (2019). Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8813798
NLM
Ridel DA, Deo N, Wolf DF, Trivedi M. Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8813798
Vancouver
Ridel DA, Deo N, Wolf DF, Trivedi M. Understanding pedestrian-vehicle interactions with vehicle mounted vision: an LSTM model and empirical analysis [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IVS.2019.8813798
Trabalho de evento
Bargaining game approach for lane change maneuvers (2019)
Santos, Tiago Cesar dos; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: International Conference on Advanced Robotics - ICAR. Unidade: ICMC
Assuntos: SINALIZAÇÃO DE TRÁFEGO, WIRELESS, VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Tiago Cesar dos e WOLF, Denis Fernando. Bargaining game approach for lane change maneuvers. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICAR46387.2019.8981547. Acesso em: 29 nov. 2025.
APA
Santos, T. C. dos, & Wolf, D. F. (2019). Bargaining game approach for lane change maneuvers. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR46387.2019.8981547
NLM
Santos TC dos, Wolf DF. Bargaining game approach for lane change maneuvers [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981547
Vancouver
Santos TC dos, Wolf DF. Bargaining game approach for lane change maneuvers [Internet]. Proceedings. 2019 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981547
Trabalho de evento
Continuous deep maximum entropy inverse reinforcement learning using online POMDP (2019)
Silva, Júnior Anderson Rodrigues; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Fonte: Proceedings. Nome do evento: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Assuntos: VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981548

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