ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 28 mar. 2023.
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 2023 mar. 28 ] 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 2023 mar. 28 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE56824.2022.9995888
Artigo de periodico
Leveraging convergence behavior to balance conflicting tasks in multitask learning (2022)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Neurocomputing. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, v. 511, p. 43-53, 2022Tradução . . Disponível em: https://dx.doi.org/10.1016/j.neucom.2022.09.042. Acesso em: 28 mar. 2023.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2022). Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, 511, 43-53. doi:10.1016/j.neucom.2022.09.042
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2023 mar. 28 ] Available from: https://dx.doi.org/10.1016/j.neucom.2022.09.042
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2023 mar. 28 ] Available from: https://dx.doi.org/10.1016/j.neucom.2022.09.042
Artigo de periodico
Leveraging convergence behavior to balance conflicting tasks in multitask learning (2022)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Neurocomputing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ANÁLISE DE DESEMPENHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, v. 511, p. 43-53, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2022.09.042. Acesso em: 28 mar. 2023.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2022). Leveraging convergence behavior to balance conflicting tasks in multitask learning. Neurocomputing, 511, 43-53. doi:10.1016/j.neucom.2022.09.042
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1016/j.neucom.2022.09.042
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. Leveraging convergence behavior to balance conflicting tasks in multitask learning [Internet]. Neurocomputing. 2022 ; 511 43-53.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1016/j.neucom.2022.09.042
Trabalho de evento-anais periodico
Route scheduling system for multiple self-driving cars using K-means and bio-inspired algorithms (2022)
Silva, Clênio Eduardo da ; César, Tiago S; Gomes, Iago Pachêco ; Silva, Júnior Anderson Rodrigues da ; Wolf, Denis Fernando ; Alves, Raulcézar Maximiano Figueira ; Souza, Jefferson R
Source: Communications in Computer and Information Science. Conference titles: International Conference on Engineering Applications of Neural Networks - EANN. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, ALGORITMOS GENÉTICOS, COLÔNIAS DE FORMIGAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Clênio Eduardo da et al. Route scheduling system for multiple self-driving cars using K-means and bio-inspired algorithms. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08223-8_3. Acesso em: 28 mar. 2023. , 2022
APA
Silva, C. E. da, César, T. S., Gomes, I. P., Silva, J. A. R. da, Wolf, D. F., Alves, R. M. F., & Souza, J. R. (2022). Route scheduling system for multiple self-driving cars using K-means and bio-inspired algorithms. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-031-08223-8_3
NLM
Silva CE da, César TS, Gomes IP, Silva JAR da, Wolf DF, Alves RMF, Souza JR. Route scheduling system for multiple self-driving cars using K-means and bio-inspired algorithms [Internet]. Communications in Computer and Information Science. 2022 ; 1600 27-39.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1007/978-3-031-08223-8_3
Vancouver
Silva CE da, César TS, Gomes IP, Silva JAR da, Wolf DF, Alves RMF, Souza JR. Route scheduling system for multiple self-driving cars using K-means and bio-inspired algorithms [Internet]. Communications in Computer and Information Science. 2022 ; 1600 27-39.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1007/978-3-031-08223-8_3
Artigo de periodico
Sparse road network model for autonomous navigation using clothoids (2022)
Silva, Júnior Anderson Rodrigues da ; Gomes, Iago Pachêco ; Wolf, Denis Fernando ; Grassi Júnior, Valdir
Source: IEEE Transactions on Intelligent Transportation Systems. Unidades: ICMC, EESC
Subjects: VEÍCULOS AUTÔNOMOS, TRÁFEGO RODOVIÁRIO, ANÁLISE DE TRAJETÓRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Júnior Anderson Rodrigues da et al. Sparse road network model for autonomous navigation using clothoids. IEEE Transactions on Intelligent Transportation Systems, v. 23, n. 2, p. 885-898, 2022Tradução . . Disponível em: https://doi.org/10.1109/TITS.2020.3016620. Acesso em: 28 mar. 2023.
APA
Silva, J. A. R. da, Gomes, I. P., Wolf, D. F., & Grassi Júnior, V. (2022). Sparse road network model for autonomous navigation using clothoids. IEEE Transactions on Intelligent Transportation Systems, 23( 2), 885-898. doi:10.1109/TITS.2020.3016620
NLM
Silva JAR da, Gomes IP, Wolf DF, Grassi Júnior V. Sparse road network model for autonomous navigation using clothoids [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2022 ; 23( 2): 885-898.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1109/TITS.2020.3016620
Vancouver
Silva JAR da, Gomes IP, Wolf DF, Grassi Júnior V. Sparse road network model for autonomous navigation using clothoids [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2022 ; 23( 2): 885-898.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1109/TITS.2020.3016620
Artigo de periodico
Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties (2021)
Massera Filho, Carlos Alberto de Magalhães ; Terra, Marco Henrique ; Wolf, Denis Fernando
Source: International Journal of Control. Unidades: EESC, ICMC
Subjects: CONTROLE (TEORIA DE SISTEMAS E CONTROLE), CONTROLE ÓTIMO, SISTEMAS LINEARES
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ABNT
MASSERA FILHO, Carlos Alberto de Magalhães e TERRA, Marco Henrique e WOLF, Denis Fernando. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties. International Journal of Control, v. 94, n. 4, p. 1132-1142, 2021Tradução . . Disponível em: http://dx.doi.org/10.1080/00207179.2019.1634838. Acesso em: 28 mar. 2023.
APA
Massera Filho, C. A. de M., Terra, M. H., & Wolf, D. F. (2021). Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties. International Journal of Control, 94( 4), 1132-1142. doi:10.1080/00207179.2019.1634838
NLM
Massera Filho CA de M, Terra MH, Wolf DF. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties [Internet]. International Journal of Control. 2021 ; 94( 4): 1132-1142.[citado 2023 mar. 28 ] Available from: http://dx.doi.org/10.1080/00207179.2019.1634838
Vancouver
Massera Filho CA de M, Terra MH, Wolf DF. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties [Internet]. International Journal of Control. 2021 ; 94( 4): 1132-1142.[citado 2023 mar. 28 ] Available from: http://dx.doi.org/10.1080/00207179.2019.1634838
Artigo de periodico
An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation (2021)
Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando
Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC
Subjects: TOMADA DE DECISÃO, ANÁLISE DE DESEMPENHO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, v. 100, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2021.104205. Acesso em: 28 mar. 2023.
APA
Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2021). An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, 100, 1-10. doi:10.1016/j.engappai.2021.104205
NLM
Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
Vancouver
Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205
Artigo de periodico-carta/editorial
ICAR 2019 Special Issue [Editorial] (2021)
Pereira, Guilherme A. S (Editor) ; Drews Junior, Paulo L. J (Editor) ; Wolf, Denis Fernando (Editor) ; Mattos, Leonardo S (Editor)
Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Assunto: ROBÓTICA
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ABNT
ICAR 2019 Special Issue [Editorial]. Journal of Intelligent & Robotic Systems. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10846-021-01460-9. Acesso em: 28 mar. 2023. , 2021
APA
ICAR 2019 Special Issue [Editorial]. (2021). ICAR 2019 Special Issue [Editorial]. Journal of Intelligent & Robotic Systems. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/s10846-021-01460-9
NLM
ICAR 2019 Special Issue [Editorial] [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 102 1-2.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1007/s10846-021-01460-9
Vancouver
ICAR 2019 Special Issue [Editorial] [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 102 1-2.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1007/s10846-021-01460-9
Artigo de periodico
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function (2021)
Watanabe, Thomio ; Wolf, Denis Fernando
Source: Applied Soft Computing. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 28 mar. 2023.
APA
Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
NLM
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
Vancouver
Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
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
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC
Subjects: VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 28 mar. 2023.
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 2023 mar. 28 ] 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 2023 mar. 28 ] 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
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: ICMC, EESC
Subjects: 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: 28 mar. 2023.
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 2023 mar. 28 ] 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 2023 mar. 28 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659467
Artigo de periodico
Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis (2021)
Gomes, Iago Pachêco ; Wolf, Denis Fernando
Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, FALHAS COMPUTACIONAIS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS
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ABNT
GOMES, Iago Pachêco e WOLF, Denis Fernando. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, v. 101, n. Ja 2021, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10846-020-01293-y. Acesso em: 28 mar. 2023.
APA
Gomes, I. P., & Wolf, D. F. (2021). Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, 101( Ja 2021), 1-21. doi:10.1007/s10846-020-01293-y
NLM
Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1007/s10846-020-01293-y
Vancouver
Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1007/s10846-020-01293-y
Artigo de periodico
Scene compliant trajectory forecast with agent-centric spatio-temporal grids (2020)
Ridel, Daniela Alves ; Deo, Nachiket; Wolf, Denis Fernando ; Trivedi, Mohan
Source: IEEE Robotics and Automation Letters. Unidade: ICMC
Subjects: ANÁLISE DE TRAJETÓRIAS, GEOMETRIA E MODELAGEM COMPUTACIONAL
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ABNT
RIDEL, Daniela Alves et al. Scene compliant trajectory forecast with agent-centric spatio-temporal grids. IEEE Robotics and Automation Letters, v. 5, n. 2, p. 2816-2823, 2020Tradução . . Disponível em: https://doi.org/10.1109/LRA.2020.2974393. Acesso em: 28 mar. 2023.
APA
Ridel, D. A., Deo, N., Wolf, D. F., & Trivedi, M. (2020). Scene compliant trajectory forecast with agent-centric spatio-temporal grids. IEEE Robotics and Automation Letters, 5( 2), 2816-2823. doi:10.1109/LRA.2020.2974393
NLM
Ridel DA, Deo N, Wolf DF, Trivedi M. Scene compliant trajectory forecast with agent-centric spatio-temporal grids [Internet]. IEEE Robotics and Automation Letters. 2020 ; 5( 2): 2816-2823.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1109/LRA.2020.2974393
Vancouver
Ridel DA, Deo N, Wolf DF, Trivedi M. Scene compliant trajectory forecast with agent-centric spatio-temporal grids [Internet]. IEEE Robotics and Automation Letters. 2020 ; 5( 2): 2816-2823.[citado 2023 mar. 28 ] Available from: https://doi.org/10.1109/LRA.2020.2974393
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
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: ICMC, EESC
Subjects: 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: 28 mar. 2023.
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 2023 mar. 28 ] 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 2023 mar. 28 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917
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
Source: Proceedings. Conference titles: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Subjects: VEÍCULOS AUTÔNOMOS, WIRELESS, CONTROLE DE TRÁFEGO, MOBILIDADE URBANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Tiago Cesar dos et al. Evaluation of lane-merging approaches for connected vehicles. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: http://dx.doi.org/10.1109/IVS.2019.8813802. Acesso em: 28 mar. 2023.
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 2023 mar. 28 ] Available from: http://dx.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 2023 mar. 28 ] Available from: http://dx.doi.org/10.1109/IVS.2019.8813802
Trabalho de evento
Automated conflict resolution of lane change Utilizing probability collectives (2019)
Santos, Tiago Cesar dos; Wolf, Denis Fernando
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: ICMC
Subjects: 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: 28 mar. 2023.
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 2023 mar. 28 ] 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 2023 mar. 28 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981609
Artigo de periodico
UAV route planning for active disease classification (2019)
Vivaldini, Kelen C. T.; Martinelli, Thiago H.; Guizilini, Vitor C.; Souza, Jefferson R.; Oliveira, Matheus D. C.; Ramos, Fabio; Wolf, Denis Fernando
Source: Autonomous Robots. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, AERONAVES NÃO TRIPULADAS, OTIMIZAÇÃO MATEMÁTICA
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ABNT
VIVALDINI, Kelen C. T. et al. UAV route planning for active disease classification. Autonomous Robots, v. 43, p. 1137-1153, 2019Tradução . . Disponível em: http://dx.doi.org/10.1007/s10514-018-9790-x. Acesso em: 28 mar. 2023.
APA
Vivaldini, K. C. T., Martinelli, T. H., Guizilini, V. C., Souza, J. R., Oliveira, M. D. C., Ramos, F., & Wolf, D. F. (2019). UAV route planning for active disease classification. Autonomous Robots, 43, 1137-1153. doi:10.1007/s10514-018-9790-x
NLM
Vivaldini KCT, Martinelli TH, Guizilini VC, Souza JR, Oliveira MDC, Ramos F, Wolf DF. UAV route planning for active disease classification [Internet]. Autonomous Robots. 2019 ; 43 1137-1153.[citado 2023 mar. 28 ] Available from: http://dx.doi.org/10.1007/s10514-018-9790-x
Vancouver
Vivaldini KCT, Martinelli TH, Guizilini VC, Souza JR, Oliveira MDC, Ramos F, Wolf DF. UAV route planning for active disease classification [Internet]. Autonomous Robots. 2019 ; 43 1137-1153.[citado 2023 mar. 28 ] Available from: http://dx.doi.org/10.1007/s10514-018-9790-x
Trabalho de evento
A health monitoring system with hybrid bayesian network for autonomous vehicle (2019)
Gomes, Iago Pachêco ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidade: ICMC
Subjects: FALHA, VEÍCULOS AUTÔNOMOS, SEGURANÇA NO TRÂNSITO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 28 mar. 2023.
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 2023 mar. 28 ] 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 2023 mar. 28 ] 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
Source: Proceedings. Conference titles: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Subjects: IMAGEM 3D, VISÃO COMPUTACIONAL, REDES NEURAIS, VEÍCULOS AUTÔNOMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: http://dx.doi.org/10.1109/IVS.2019.8814157. Acesso em: 28 mar. 2023.
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 2023 mar. 28 ] Available from: http://dx.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 2023 mar. 28 ] Available from: http://dx.doi.org/10.1109/IVS.2019.8814157
Trabalho de evento
Instance segmentation as image segmentation annotation (2019)
Watanabe, Thomio ; Wolf, Denis Fernando
Source: Proceedings. Conference titles: IEEE Intelligent Vehicles Symposium - IV. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REDES NEURAIS, IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WATANABE, Thomio e WOLF, Denis Fernando. Instance segmentation as image segmentation annotation. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: http://dx.doi.org/10.1109/IVS.2019.8814026. Acesso em: 28 mar. 2023.
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 2023 mar. 28 ] Available from: http://dx.doi.org/10.1109/IVS.2019.8814026
Vancouver
Watanabe T, Wolf DF. Instance segmentation as image segmentation annotation [Internet]. Proceedings. 2019 ;[citado 2023 mar. 28 ] Available from: http://dx.doi.org/10.1109/IVS.2019.8814026

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