Vision-based autonomous navigation using neural networks and templates in urban environments (2011)
- Authors:
- USP affiliated authors: OSÓRIO, FERNANDO SANTOS - ICMC ; WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- ISBN: 9788586686634
- Source:
- Título do periódico: Proceedings
- Conference titles: Brazilian Conference on Critical Embedded Systems - CBSEC
-
ABNT
SOUZA, Jefferson Rodrigo de et al. Vision-based autonomous navigation using neural networks and templates in urban environments. 2011, Anais.. São Paulo: EPUSP, 2011. . Acesso em: 19 abr. 2024. -
APA
Souza, J. R. de, Pessin, G., Shinzato, P. Y., Osório, F. S., & Wolf, D. F. (2011). Vision-based autonomous navigation using neural networks and templates in urban environments. In Proceedings. São Paulo: EPUSP. -
NLM
Souza JR de, Pessin G, Shinzato PY, Osório FS, Wolf DF. Vision-based autonomous navigation using neural networks and templates in urban environments. Proceedings. 2011 ;[citado 2024 abr. 19 ] -
Vancouver
Souza JR de, Pessin G, Shinzato PY, Osório FS, Wolf DF. Vision-based autonomous navigation using neural networks and templates in urban environments. Proceedings. 2011 ;[citado 2024 abr. 19 ] - Vision-based autonomous navigation using supervised learning techniques
- Performance evaluation of different machine learning techniques with stereo vision used to road detection task
- Multi-agent autonomous patrolling system using ANN and FSM control
- Vision and GPS-based autonomous vehicle navigation using templates and artificial neural networks
- Harwdware/software co-design implementation of on-chip backpropagation
- Artificial neural nets object recognition for 3D point clouds
- Adaptive finite state machine based visual autonomous navigation system
- CaRINA dataset: an emerging-country urban scenario benchmark for road detection systems
- Terrain mapping and classification using neural networks
- Intelligent control and evolutionary strategies applied to multirobotic systems
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