3D point clouds segmentation for autonomous ground vehicle (2013)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; OSÓRIO, FERNANDO SANTOS - ICMC
- Unidade: ICMC
- DOI: 10.1109/SBESC.2013.43
- Subjects: SISTEMAS EMBUTIDOS; COMPUTAÇÃO EVOLUTIVA; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ
- Date published: 2013
- Source:
- Título do periódico: Proceedings
- ISSN: 2324-7894
- Conference titles: Brazilian Symposium on Computing Systems Engineering - SBESC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HABERMANN, Danilo et al. 3D point clouds segmentation for autonomous ground vehicle. 2013, Anais.. Piscataway, NJ: IEEE, 2013. Disponível em: https://doi.org/10.1109/SBESC.2013.43. Acesso em: 20 abr. 2024. -
APA
Habermann, D., Hata, A., Wolf, D. F., & Osório, F. S. (2013). 3D point clouds segmentation for autonomous ground vehicle. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/SBESC.2013.43 -
NLM
Habermann D, Hata A, Wolf DF, Osório FS. 3D point clouds segmentation for autonomous ground vehicle [Internet]. Proceedings. 2013 ;[citado 2024 abr. 20 ] Available from: https://doi.org/10.1109/SBESC.2013.43 -
Vancouver
Habermann D, Hata A, Wolf DF, Osório FS. 3D point clouds segmentation for autonomous ground vehicle [Internet]. Proceedings. 2013 ;[citado 2024 abr. 20 ] Available from: https://doi.org/10.1109/SBESC.2013.43 - 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: 10.1109/SBESC.2013.43 (Fonte: oaDOI API)
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