An efficient obstacle Detection Approach for Organized Point Clouds (2013)
- Authors:
- USP affiliated authors: OSÓRIO, FERNANDO SANTOS - ICMC ; WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- Subjects: COMPUTAÇÃO EVOLUTIVA; SISTEMAS EMBUTIDOS; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ
- Date published: 2013
- Source:
- Título do periódico: Proceedings
- ISSN: 1931-0587
- Conference titles: IEEE Intelligent Vehicles Symposium - IV'13
-
ABNT
MENDES, Caio César Teodoro e OSÓRIO, Fernando Santos e WOLF, Denis Fernando. An efficient obstacle Detection Approach for Organized Point Clouds. 2013, Anais.. Piscataway, NJ: IEEE, 2013. . Acesso em: 21 maio 2024. -
APA
Mendes, C. C. T., Osório, F. S., & Wolf, D. F. (2013). An efficient obstacle Detection Approach for Organized Point Clouds. In Proceedings. Piscataway, NJ: IEEE. -
NLM
Mendes CCT, Osório FS, Wolf DF. An efficient obstacle Detection Approach for Organized Point Clouds. Proceedings. 2013 ;[citado 2024 maio 21 ] -
Vancouver
Mendes CCT, Osório FS, Wolf DF. An efficient obstacle Detection Approach for Organized Point Clouds. Proceedings. 2013 ;[citado 2024 maio 21 ] - Vision-based autonomous navigation using supervised learning techniques
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- 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
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