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Trabalho de evento
Enhancing 3D object detection in autonomous vehicles: multi-sensor fusion with attention mechanisms (2024)
Honorato, Eduardo Sperle ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786434
Trabalho de evento
In defense of multimodal and temporal data for unsupervised domain adaptation (2024)
Barbosa, Felipe Manfio ; Osório, Fernando Santos
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, ESPAÇO URBANO, APRENDIZAGEM
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ABNT
BARBOSA, Felipe Manfio e OSÓRIO, Fernando Santos. In defense of multimodal and temporal data for unsupervised domain adaptation. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786396. Acesso em: 01 dez. 2025.
APA
Barbosa, F. M., & Osório, F. S. (2024). In defense of multimodal and temporal data for unsupervised domain adaptation. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS64411.2024.10786396
NLM
Barbosa FM, Osório FS. In defense of multimodal and temporal data for unsupervised domain adaptation [Internet]. Proceedings. 2024 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786396
Vancouver
Barbosa FM, Osório FS. In defense of multimodal and temporal data for unsupervised domain adaptation [Internet]. Proceedings. 2024 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786396
Trabalho de evento
Performance evaluation of BladeRF and HackRF SDRs in security tests for GPS systems (2024)
Marçal, Vitor ; Ferrão, Isadora Garcia ; Allão, Daniel; Silva, Lucas Gonzalez da; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: ICMC, EESC
Subjects: AERONAVES NÃO TRIPULADAS, SISTEMA DE POSICIONAMENTO GLOBAL, ATAQUE
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ABNT
MARÇAL, Vitor et al. Performance evaluation of BladeRF and HackRF SDRs in security tests for GPS systems. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786454. Acesso em: 01 dez. 2025.
APA
Marçal, V., Ferrão, I. G., Allão, D., Silva, L. G. da, & Branco, K. R. L. J. C. (2024). Performance evaluation of BladeRF and HackRF SDRs in security tests for GPS systems. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS64411.2024.10786454
NLM
Marçal V, Ferrão IG, Allão D, Silva LG da, Branco KRLJC. Performance evaluation of BladeRF and HackRF SDRs in security tests for GPS systems [Internet]. Proceedings. 2024 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786454
Vancouver
Marçal V, Ferrão IG, Allão D, Silva LG da, Branco KRLJC. Performance evaluation of BladeRF and HackRF SDRs in security tests for GPS systems [Internet]. Proceedings. 2024 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786454
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
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidades: ICMC, EESC
Subjects: 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: 01 dez. 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 dez. 01 ] 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 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786436
Trabalho de evento
Sensor fusion of LiDAR and stereo camera for forest mapping (2024)
Souza Neto, Amador Marcelino de; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, MONITORAMENTO AMBIENTAL, FLORESTAS
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ABNT
SOUZA NETO, Amador Marcelino de e ROMERO, Roseli Aparecida Francelin. Sensor fusion of LiDAR and stereo camera for forest mapping. 2024, Anais.. Danvers: IEEE, 2024. Disponível em: https://doi.org/10.1109/LARS64411.2024.10786470. Acesso em: 01 dez. 2025.
APA
Souza Neto, A. M. de, & Romero, R. A. F. (2024). Sensor fusion of LiDAR and stereo camera for forest mapping. In Proceedings. Danvers: IEEE. doi:10.1109/LARS64411.2024.10786470
NLM
Souza Neto AM de, Romero RAF. Sensor fusion of LiDAR and stereo camera for forest mapping [Internet]. Proceedings. 2024 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786470
Vancouver
Souza Neto AM de, Romero RAF. Sensor fusion of LiDAR and stereo camera for forest mapping [Internet]. Proceedings. 2024 ;[citado 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS64411.2024.10786470
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10332981
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332971
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10332962
Trabalho de evento
Force control benchmarking in the gap metric (2023)
Shime, Victor; Montandon Neto, Jose Luiz; Cunha, Thiago Boaventura
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 CUNHA, Thiago Boaventura. 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: 01 dez. 2025.
APA
Shime, V., Montandon Neto, J. L., & Cunha, T. B. (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, Cunha TB. Force control benchmarking in the gap metric [Internet]. Proceedings. 2023 ;[citado 2025 dez. 01 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333036
Vancouver
Shime V, Montandon Neto JL, Cunha TB. Force control benchmarking in the gap metric [Internet]. Proceedings. 2023 ;[citado 2025 dez. 01 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333036
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE59448.2023.10333011
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE59448.2023.10333056
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] 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: 01 dez. 2025.
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 2025 dez. 01 ] 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 2025 dez. 01 ] Available from: https://dx.doi.org/10.1109/LARS/SBR/WRE54079.2021.9605473

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