A driving assistance system for navigation in urban environments (2010)
- Authors:
- USP affiliated authors: OSÓRIO, FERNANDO SANTOS - ICMC ; WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-16952-6_55
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Heidelberg
- Date published: 2010
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 6433, p. 542-551, 2010
- Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FERNANDES, Leandro Carlos et al. A driving assistance system for navigation in urban environments. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-16952-6_55. Acesso em: 19 abr. 2024. , 2010 -
APA
Fernandes, L. C., Dias, M. A., Osório, F. S., & Wolf, D. F. (2010). A driving assistance system for navigation in urban environments. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-16952-6_55 -
NLM
Fernandes LC, Dias MA, Osório FS, Wolf DF. A driving assistance system for navigation in urban environments [Internet]. Lecture Notes in Computer Science. 2010 ; 6433 542-551.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_55 -
Vancouver
Fernandes LC, Dias MA, Osório FS, Wolf DF. A driving assistance system for navigation in urban environments [Internet]. Lecture Notes in Computer Science. 2010 ; 6433 542-551.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_55 - Vision-based autonomous navigation using supervised learning techniques
- Vision-based autonomous navigation using neural networks and templates in urban environments
- 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
Informações sobre o DOI: 10.1007/978-3-642-16952-6_55 (Fonte: oaDOI API)
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