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  • Tese (Doutorado)

    A Decentralized Approach for Connected and Autonomous Vehicles Traffic Negotiation and Conflict Resolution (2023)

    Santos, Tiago Cesar dos; Wolf, Denis Fernando (Orientador)

    Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, SISTEMAS DE TRANSPORTES, APRENDIZADO COMPUTACIONAL

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      SANTOS, Tiago Cesar dos. A Decentralized Approach for Connected and Autonomous Vehicles Traffic Negotiation and Conflict Resolution. 2023. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04072023-134313/. Acesso em: 02 out. 2023.

    • APA

      Santos, T. C. dos. (2023). A Decentralized Approach for Connected and Autonomous Vehicles Traffic Negotiation and Conflict Resolution (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04072023-134313/

    • NLM

      Santos TC dos. A Decentralized Approach for Connected and Autonomous Vehicles Traffic Negotiation and Conflict Resolution [Internet]. 2023 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04072023-134313/

    • Vancouver

      Santos TC dos. A Decentralized Approach for Connected and Autonomous Vehicles Traffic Negotiation and Conflict Resolution [Internet]. 2023 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04072023-134313/

  • 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] Available from: https://dx.doi.org/10.1016/j.neucom.2022.09.042

  • Tese (Doutorado)

    Aproveitando o comportamento de convergência para equilibrar tarefas conflitantes no aprendizado de múltiplas tarefas (2022)

    Nakamura, Angelica Tiemi Mizuno; Wolf, Denis Fernando (Orientador)

    Unidade: ICMC

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      NAKAMURA, Angelica Tiemi Mizuno. Aproveitando o comportamento de convergência para equilibrar tarefas conflitantes no aprendizado de múltiplas tarefas. 2022. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-17022023-095144/. Acesso em: 02 out. 2023.

    • APA

      Nakamura, A. T. M. (2022). Aproveitando o comportamento de convergência para equilibrar tarefas conflitantes no aprendizado de múltiplas tarefas (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-17022023-095144/

    • NLM

      Nakamura ATM. Aproveitando o comportamento de convergência para equilibrar tarefas conflitantes no aprendizado de múltiplas tarefas [Internet]. 2022 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-17022023-095144/

    • Vancouver

      Nakamura ATM. Aproveitando o comportamento de convergência para equilibrar tarefas conflitantes no aprendizado de múltiplas tarefas [Internet]. 2022 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-17022023-095144/

  • 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

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    • 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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] Available from: https://doi.org/10.1109/TITS.2020.3016620

  • Tese (Doutorado)

    Scene compliant spatio-temporal multi-modal multi-agent long-term trajectory forecasting (2021)

    Ridel, Daniela Alves; Wolf, Denis Fernando (Orientador)

    Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VEÍCULOS AUTÔNOMOS, CIDADES INTELIGENTES

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      RIDEL, Daniela Alves. Scene compliant spatio-temporal multi-modal multi-agent long-term trajectory forecasting. 2021. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-08112021-112852/. Acesso em: 02 out. 2023.

    • APA

      Ridel, D. A. (2021). Scene compliant spatio-temporal multi-modal multi-agent long-term trajectory forecasting (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-08112021-112852/

    • NLM

      Ridel DA. Scene compliant spatio-temporal multi-modal multi-agent long-term trajectory forecasting [Internet]. 2021 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-08112021-112852/

    • Vancouver

      Ridel DA. Scene compliant spatio-temporal multi-modal multi-agent long-term trajectory forecasting [Internet]. 2021 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-08112021-112852/

  • 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] Available from: https://doi.org/10.1007/s10846-020-01293-y

  • Dissertação (Mestrado)

    Environment reconstruction on disparity images using surface features and Generative Adversarial Networks (2020)

    Matias, Lucas Peres Nunes; Wolf, Denis Fernando (Orientador)

    Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, PROCESSAMENTO DE IMAGENS, SEGURANÇA NO TRÂNSITO, VISÃO COMPUTACIONAL, ROBÓTICA

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      MATIAS, Lucas Peres Nunes. Environment reconstruction on disparity images using surface features and Generative Adversarial Networks. 2020. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-163017/. Acesso em: 02 out. 2023.

    • APA

      Matias, L. P. N. (2020). Environment reconstruction on disparity images using surface features and Generative Adversarial Networks (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-163017/

    • NLM

      Matias LPN. Environment reconstruction on disparity images using surface features and Generative Adversarial Networks [Internet]. 2020 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-163017/

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      Matias LPN. Environment reconstruction on disparity images using surface features and Generative Adversarial Networks [Internet]. 2020 ;[citado 2023 out. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-27072020-163017/

  • 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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

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      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: 02 out. 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 out. 02 ] 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 out. 02 ] 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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      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: 02 out. 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 out. 02 ] 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 out. 02 ] Available from: https://doi.org/10.1109/ICAR46387.2019.8981609

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