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  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: EESC, ESALQ

    Subjects: MINERAÇÃO, PROJETO MECÂNICO, ROBÓTICA, ENGENHARIA MECÂNICA

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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333005
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: APRENDIZAGEM PROFUNDA, VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, CIDADES INTELIGENTES

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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333032
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, ROBÓTICA, FLORESTAS

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      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: 09 nov. 2024.
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      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
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      Nardari GV, Romero RAF. Semantic and depth learning for autonomous forest mapping [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS, ROBÓTICA, REVISÃO SISTEMÁTICA

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      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: 09 nov. 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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC

    Subjects: VEÍCULOS AUTÔNOMOS, REDES NEURAIS, AGRICULTURA, ENGENHARIA MECÂNICA

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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10332981
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC

    Subjects: ROBÓTICA, REABILITAÇÃO, BENCHMARKING, ENGENHARIA MECÂNICA

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      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: 09 nov. 2024.
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      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
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      Shime V, Montandon Neto JL, Boaventura T. Force control benchmarking in the gap metric [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] 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 nov. 09 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333036
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC

    Subjects: VEÍCULOS AUTÔNOMOS, TRAJETÓRIA, ENGENHARIA ELÉTRICA

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      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: 09 nov. 2024.
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      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
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      Castro AR, Grassi Júnior V. Learning to estimate multivariate uncertainty in deep pedestrian trajectory prediction [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] 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. 09 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333011
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: APRENDIZAGEM PROFUNDA, SEMÂNTICA

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      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: 09 nov. 2024.
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      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
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      Barbosa FM, Osório FS. Self-supervised temporal consistency applied to domain adaptation in semantic segmentation of urban scenes [Internet]. Proceedings. 2023 ;[citado 2024 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, TOMADA DE DECISÃO, APRENDIZADO COMPUTACIONAL

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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888
  • 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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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995970
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: EESC, EESC E ICMC

    Subjects: VISÃO COMPUTACIONAL, ROBÓTICA, ENGENHARIA MECÂNICA

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      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: 09 nov. 2024.
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      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
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      Gama GS, Rosa N dos S, Grassi Júnior V. Semantic SuperPoint: a deep semantic descriptor [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] 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. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9996027
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: AERONAVES NÃO TRIPULADAS, APRENDIZADO COMPUTACIONAL, REVISÃO SISTEMÁTICA

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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995987
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, TRÁFEGO RODOVIÁRIO, ALGORITMOS

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      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: 09 nov. 2024.
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      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
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      Justo VS, Osório FS. A trajectory deformation algorithm for intelligent vehicles [Internet]. Proceedings. 2022 ;[citado 2024 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995981
  • 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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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995745
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC

    Subjects: TRAJETÓRIA, COLHEITA, ENGENHARIA MECÂNICA

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      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: 09 nov. 2024.
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      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
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      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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE54079.2021.9605451
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC

    Subjects: CIRCULAÇÃO DE PEDESTRES, TRAJETÓRIA, ENGENHARIA ELÉTRICA

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      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: 09 nov. 2024.
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      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
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      Santos AC dos, Grassi Júnior V. Pedestrian trajectory prediction with pose representation and latent space variables [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] 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. 09 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605473
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: EESC

    Subjects: APRENDIZAGEM PROFUNDA, ENGENHARIA ELÉTRICA

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      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: 09 nov. 2024.
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      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
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      Silva VAS, Grassi Júnior V. Addressing lane keeping and intersections using deep conditional reinforcement learning [Internet]. Proceedings. 2021 ;[citado 2024 nov. 09 ] 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. 09 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605436
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS

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      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: 09 nov. 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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC

    Subjects: AERONAVES NÃO TRIPULADAS, TOMADA DE DECISÃO, SISTEMA DE POSICIONAMENTO GLOBAL

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      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: 09 nov. 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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307036
  • Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: ICMC, EESC

    Subjects: INTERAÇÃO HOMEM-MÁQUINA, VEÍCULOS AUTÔNOMOS

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      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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307046

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