Data fusion obtained from multiple images aiming the navigation of autonomous intelligent vehicles in agricultural environment (2014)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; OSÓRIO, FERNANDO SANTOS - ICMC
- Unidade: ICMC
- DOI: 10.1109/SBR.LARS.Robocontrol.2014.21
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: Conference Publishing Services
- Publisher place: Los Alamitos
- Date published: 2014
- ISBN: 9781479967117
- Source:
- Título: Proceedings
- Conference titles: Joint Conference on Robotics and Intelligent Systems - JCRIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
UTINO, Vitor M e WOLF, Denis Fernando e OSÓRIO, Fernando Santos. Data fusion obtained from multiple images aiming the navigation of autonomous intelligent vehicles in agricultural environment. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/SBR.LARS.Robocontrol.2014.21. Acesso em: 12 fev. 2026. -
APA
Utino, V. M., Wolf, D. F., & Osório, F. S. (2014). Data fusion obtained from multiple images aiming the navigation of autonomous intelligent vehicles in agricultural environment. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/SBR.LARS.Robocontrol.2014.21 -
NLM
Utino VM, Wolf DF, Osório FS. Data fusion obtained from multiple images aiming the navigation of autonomous intelligent vehicles in agricultural environment [Internet]. Proceedings. 2014 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1109/SBR.LARS.Robocontrol.2014.21 -
Vancouver
Utino VM, Wolf DF, Osório FS. Data fusion obtained from multiple images aiming the navigation of autonomous intelligent vehicles in agricultural environment [Internet]. Proceedings. 2014 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1109/SBR.LARS.Robocontrol.2014.21 - Mobile robots navigation in indoor environments using kinect sensor
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Informações sobre o DOI: 10.1109/SBR.LARS.Robocontrol.2014.21 (Fonte: oaDOI API)
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