Multi camera system analysis for autonomous navigation using end-to-end deep learning (2019)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; OSÓRIO, FERNANDO SANTOS - ICMC ; AMADO, JOSÉ ALBERTO DIAZ - ICMC ; AMARO, JEAN - ICMC ; GOMES, IAGO PACHECO - ICMC
- Unidade: ICMC
- DOI: 10.5753/wvc.2019.7623
- Subjects: VEÍCULOS AUTÔNOMOS; IMAGEM 3D
- Language: Português
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2019
- Source:
- Título: Anais
- Conference titles: Workshop de Visão Computacional - WVC
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
-
Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
ABNT
AMADO, José Alberto Diaz et al. Multi camera system analysis for autonomous navigation using end-to-end deep learning. 2019, Anais.. Porto Alegre: SBC, 2019. Disponível em: https://doi.org/10.5753/wvc.2019.7623. Acesso em: 13 mar. 2026. -
APA
Amado, J. A. D., Amaro, J., Gomes, I. P., Wolf, D. F., & Osório, F. S. (2019). Multi camera system analysis for autonomous navigation using end-to-end deep learning. In Anais. Porto Alegre: SBC. doi:10.5753/wvc.2019.7623 -
NLM
Amado JAD, Amaro J, Gomes IP, Wolf DF, Osório FS. Multi camera system analysis for autonomous navigation using end-to-end deep learning [Internet]. Anais. 2019 ;[citado 2026 mar. 13 ] Available from: https://doi.org/10.5753/wvc.2019.7623 -
Vancouver
Amado JAD, Amaro J, Gomes IP, Wolf DF, Osório FS. Multi camera system analysis for autonomous navigation using end-to-end deep learning [Internet]. Anais. 2019 ;[citado 2026 mar. 13 ] Available from: https://doi.org/10.5753/wvc.2019.7623 - End-to-End deep learning applied in autonomous navigation using multi-cameras system with RGB and depth images
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