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Trabalho de evento
An adaptable paw design for quadruped robots operation in mining environments (2023)
Barros, Luiz Guilherme Dias de; Cid, Andre Luiz Maciel; Domingues, Jacó Dias; Medeiros, Vivian Suzano; Pessin, Gustavo; Becker, Marcelo
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: EESC, ESALQ
Subjects: MINERAÇÃO, PROJETO MECÂNICO, ROBÓTICA, ENGENHARIA MECÂNICA
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ABNT
BARROS, Luiz Guilherme Dias de et al. An adaptable paw design for quadruped robots operation in mining environments. 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/WRE59448.2023.10333005. Acesso em: 26 abr. 2024.
APA
Barros, L. G. D. de, Cid, A. L. M., Domingues, J. D., Medeiros, V. S., Pessin, G., & Becker, M. (2023). An adaptable paw design for quadruped robots operation in mining environments. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE59448.2023.10333005
NLM
Barros LGD de, Cid ALM, Domingues JD, Medeiros VS, Pessin G, Becker M. An adaptable paw design for quadruped robots operation in mining environments [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333005
Vancouver
Barros LGD de, Cid ALM, Domingues JD, Medeiros VS, Pessin G, Becker M. An adaptable paw design for quadruped robots operation in mining environments [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333005
Trabalho de evento
Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems (2023)
Bruno, Diego Renan ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, CIDADES INTELIGENTES
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ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032. Acesso em: 26 abr. 2024.
APA
Bruno, D. R., & Osório, F. S. (2023). Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10333032
NLM
Bruno DR, Osório FS. Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032
Vancouver
Bruno DR, Osório FS. Real-time pedestrian detection and tracking system using deep learning and Kalman filter: applications on embedded systems in advanced driver assistance systems [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032
Trabalho de evento
Navigating with finesse: leveraging neural network-based lidar perception and iLQR control for intelligent agriculture robotics (2023)
Pinto, Francisco Affonso; Tommaselli, Felipe Andrade G.; Gasparino, Mateus Valverde; Becker, Marcelo
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: VEÍCULOS AUTÔNOMOS, REDES NEURAIS, AGRICULTURA, ENGENHARIA MECÂNICA
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ABNT
PINTO, Francisco Affonso et al. Navigating with finesse: leveraging neural network-based lidar perception and iLQR control for intelligent agriculture robotics. 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/WRE59448.2023.10332981. Acesso em: 26 abr. 2024.
APA
Pinto, F. A., Tommaselli, F. A. G., Gasparino, M. V., & Becker, M. (2023). Navigating with finesse: leveraging neural network-based lidar perception and iLQR control for intelligent agriculture robotics. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE59448.2023.10332981
NLM
Pinto FA, Tommaselli FAG, Gasparino MV, Becker M. Navigating with finesse: leveraging neural network-based lidar perception and iLQR control for intelligent agriculture robotics [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10332981
Vancouver
Pinto FA, Tommaselli FAG, Gasparino MV, Becker M. Navigating with finesse: leveraging neural network-based lidar perception and iLQR control for intelligent agriculture robotics [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10332981
Trabalho de evento
Semantic and depth learning for autonomous forest mapping (2023)
Nardari, Guilherme Vicentim ; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, ROBÓTICA, FLORESTAS
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ABNT
NARDARI, Guilherme Vicentim e ROMERO, Roseli Aparecida Francelin. Semantic and depth learning for autonomous forest mapping. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962. Acesso em: 26 abr. 2024.
APA
Nardari, G. V., & Romero, R. A. F. (2023). Semantic and depth learning for autonomous forest mapping. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10332962
NLM
Nardari GV, Romero RAF. Semantic and depth learning for autonomous forest mapping [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
Vancouver
Nardari GV, Romero RAF. Semantic and depth learning for autonomous forest mapping [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
Trabalho de evento
A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle (2023)
Bruno, Diego Renan ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, ROBÓTICA, REVISÃO SISTEMÁTICA
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ABNT
BRUNO, Diego Renan e OSÓRIO, Fernando Santos. A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971. Acesso em: 26 abr. 2024.
APA
Bruno, D. R., & Osório, F. S. (2023). A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10332971
NLM
Bruno DR, Osório FS. A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
Vancouver
Bruno DR, Osório FS. A literature review on the detection and tracking of obstacles applied for advanced driver assistance systems (ADAS) in robotic vehicle [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
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: 26 abr. 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 abr. 26 ] 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 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333011
Trabalho de evento
Force control benchmarking in the gap metric (2023)
Shime, Victor; Montandon Neto, Jose Luiz; Boaventura, Thiago
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: ROBÓTICA, REABILITAÇÃO, BENCHMARKING, ENGENHARIA MECÂNICA
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ABNT
SHIME, Victor e MONTANDON NETO, Jose Luiz e BOAVENTURA, Thiago. Force control benchmarking in the gap metric. 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/WRE59448.2023.10333036. Acesso em: 26 abr. 2024.
APA
Shime, V., Montandon Neto, J. L., & Boaventura, T. (2023). Force control benchmarking in the gap metric. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/LARS/SBR/WRE59448.2023.10333036
NLM
Shime V, Montandon Neto JL, Boaventura T. Force control benchmarking in the gap metric [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333036
Vancouver
Shime V, Montandon Neto JL, Boaventura T. Force control benchmarking in the gap metric [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333036
Trabalho de evento
Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes (2023)
Barbosa, Felipe Manfio ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, SEMÂNTICA
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ABNT
BARBOSA, Felipe Manfio e OSÓRIO, Fernando Santos. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056. Acesso em: 26 abr. 2024.
APA
Barbosa, F. M., & Osório, F. S. (2023). Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE59448.2023.10333056
NLM
Barbosa FM, Osório FS. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056
Vancouver
Barbosa FM, Osório FS. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes [Internet]. Proceedings. 2023 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056
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
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: 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: 26 abr. 2024.
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 2024 abr. 26 ] 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 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888
Trabalho de evento
Classification of scenery using multinomial logistic regression in a sugarcane crop (2022)
Bonacini, Leonardo; Peres, Handel Emanuel Natividade Peres; Higuti, Vitor Akihiro; Medeiros, Vivian Suzano; Becker, Marcelo ; Tronco, Mario Luiz
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: REGRESSÃO LOGÍSTICA, MÁQUINAS AGRÍCOLAS, ROBÔS, SISTEMA DE POSICIONAMENTO GLOBAL, ENGENHARIA MECÂNICA
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ABNT
BONACINI, Leonardo et al. Classification of scenery using multinomial logistic regression in a sugarcane crop. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970. Acesso em: 26 abr. 2024.
APA
Bonacini, L., Peres, H. E. N. P., Higuti, V. A., Medeiros, V. S., Becker, M., & Tronco, M. L. (2022). Classification of scenery using multinomial logistic regression in a sugarcane crop. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995970
NLM
Bonacini L, Peres HENP, Higuti VA, Medeiros VS, Becker M, Tronco ML. Classification of scenery using multinomial logistic regression in a sugarcane crop [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970
Vancouver
Bonacini L, Peres HENP, Higuti VA, Medeiros VS, Becker M, Tronco ML. Classification of scenery using multinomial logistic regression in a sugarcane crop [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970
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: 26 abr. 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 abr. 26 ] 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 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027
Trabalho de evento
A trajectory deformation algorithm for intelligent vehicles (2022)
Justo, Victor Sillerico ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, TRÁFEGO RODOVIÁRIO, ALGORITMOS
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ABNT
JUSTO, Victor Sillerico e OSÓRIO, Fernando Santos. A trajectory deformation algorithm for intelligent vehicles. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995981. Acesso em: 26 abr. 2024.
APA
Justo, V. S., & Osório, F. S. (2022). A trajectory deformation algorithm for intelligent vehicles. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995981
NLM
Justo VS, Osório FS. A trajectory deformation algorithm for intelligent vehicles [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995981
Vancouver
Justo VS, Osório FS. A trajectory deformation algorithm for intelligent vehicles [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995981
Trabalho de evento
A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security (2022)
Silva, Leandro Marcos da ; Ferrão, Isadora Garcia ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: AERONAVES NÃO TRIPULADAS, APRENDIZADO COMPUTACIONAL, REVISÃO SISTEMÁTICA
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ABNT
SILVA, Leandro Marcos da e FERRÃO, Isadora Garcia e BRANCO, Kalinka Regina Lucas Jaquie Castelo. A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995987. Acesso em: 26 abr. 2024.
APA
Silva, L. M. da, Ferrão, I. G., & Branco, K. R. L. J. C. (2022). A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995987
NLM
Silva LM da, Ferrão IG, Branco KRLJC. A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995987
Vancouver
Silva LM da, Ferrão IG, Branco KRLJC. A Systematic Mapping Study in Intrusion Detection System for Unmanned Aerial Vehicles Security [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995987
Trabalho de evento
Fault-tolerant architecture and implementation of a distributed control system using containers (2022)
Tamanaka, Gustavo Teruo Bernardino ; Aroca, Rafael Vidal ; Caurin, Glauco Augusto de Paula
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: SISTEMAS EMBUTIDOS, SISTEMAS DE CONTROLE, INTERNET DAS COISAS, ENGENHARIA AERONÁUTICA
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ABNT
TAMANAKA, Gustavo Teruo Bernardino e AROCA, Rafael Vidal e CAURIN, Glauco Augusto de Paula. Fault-tolerant architecture and implementation of a distributed control system using containers. 2022, Anais.. Piscataway, NJ, USA: IEEE, 2022. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995745. Acesso em: 26 abr. 2024.
APA
Tamanaka, G. T. B., Aroca, R. V., & Caurin, G. A. de P. (2022). Fault-tolerant architecture and implementation of a distributed control system using containers. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/LARS/SBR/WRE56824.2022.9995745
NLM
Tamanaka GTB, Aroca RV, Caurin GA de P. Fault-tolerant architecture and implementation of a distributed control system using containers [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995745
Vancouver
Tamanaka GTB, Aroca RV, Caurin GA de P. Fault-tolerant architecture and implementation of a distributed control system using containers [Internet]. Proceedings. 2022 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995745
Trabalho de evento
A new approach of monocular visual odometry to trajectory estimation within a plantation (2021)
Araújo, Gabriel Lima; Facuri Filho, Jorge Id; Higuti, Vitor Akihiro Hisano; Becker, Marcelo
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC
Subjects: TRAJETÓRIA, COLHEITA, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAÚJO, Gabriel Lima et al. A new approach of monocular visual odometry to trajectory estimation within a plantation. 2021, Anais.. Piscataway, NJ, USA: IEEE, 2021. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE54079.2021.9605451. Acesso em: 26 abr. 2024.
APA
Araújo, G. L., Facuri Filho, J. I., Higuti, V. A. H., & Becker, M. (2021). A new approach of monocular visual odometry to trajectory estimation within a plantation. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/LARS/SBR/WRE54079.2021.9605451
NLM
Araújo GL, Facuri Filho JI, Higuti VAH, Becker M. A new approach of monocular visual odometry to trajectory estimation within a plantation [Internet]. Proceedings. 2021 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE54079.2021.9605451
Vancouver
Araújo GL, Facuri Filho JI, Higuti VAH, Becker M. A new approach of monocular visual odometry to trajectory estimation within a plantation [Internet]. Proceedings. 2021 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE54079.2021.9605451
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 abr. 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 abr. 26 ] 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 abr. 26 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 abr. 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 abr. 26 ] 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 abr. 26 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605436
Trabalho de evento
GPS spoofing: detecting GPS fraud in unmanned aerial vehicles (2020)
Ferrão, Isadora Garcia ; Silva, Sherlon A ; Pigatto, Daniel Fernando ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: AERONAVES NÃO TRIPULADAS, TOMADA DE DECISÃO, SISTEMA DE POSICIONAMENTO GLOBAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRÃO, Isadora Garcia et al. GPS spoofing: detecting GPS fraud in unmanned aerial vehicles. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307036. Acesso em: 26 abr. 2024.
APA
Ferrão, I. G., Silva, S. A., Pigatto, D. F., & Branco, K. R. L. J. C. (2020). GPS spoofing: detecting GPS fraud in unmanned aerial vehicles. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE51543.2020.9307036
NLM
Ferrão IG, Silva SA, Pigatto DF, Branco KRLJC. GPS spoofing: detecting GPS fraud in unmanned aerial vehicles [Internet]. Proceedings. 2020 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307036
Vancouver
Ferrão IG, Silva SA, Pigatto DF, Branco KRLJC. GPS spoofing: detecting GPS fraud in unmanned aerial vehicles [Internet]. Proceedings. 2020 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307036
Trabalho de evento
Deep reinforcement learning for visual semantic navigation with memory (2020)
Santos, Iury Batista de Andrade; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Iury Batista de Andrade e ROMERO, Roseli Aparecida Francelin. Deep reinforcement learning for visual semantic navigation with memory. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029. Acesso em: 26 abr. 2024.
APA
Santos, I. B. de A., & Romero, R. A. F. (2020). Deep reinforcement learning for visual semantic navigation with memory. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE51543.2020.9307029
NLM
Santos IB de A, Romero RAF. Deep reinforcement learning for visual semantic navigation with memory [Internet]. Proceedings. 2020 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029
Vancouver
Santos IB de A, Romero RAF. Deep reinforcement learning for visual semantic navigation with memory [Internet]. Proceedings. 2020 ;[citado 2024 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 abr. 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 abr. 26 ] 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 abr. 26 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046

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