A clustering-based obstacle segmentation approach for urban environments (2015)
- Authors:
- Autor USP: WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1109/LARS-SBR.2015.58
- Subjects: COMPUTAÇÃO EVOLUTIVA; SISTEMAS EMBUTIDOS; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ
- Date published: 2015
- Source:
- Título: Proceedings
- Conference titles: Latin American Robotics Symposium - LARS 2015
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
RIDEL, Daniela A e SHINZATO, Patrick Y e WOLF, Denis Fernando. A clustering-based obstacle segmentation approach for urban environments. 2015, Anais.. Piscataway, NJ: IEEE, 2015. Disponível em: https://doi.org/10.1109/LARS-SBR.2015.58. Acesso em: 01 abr. 2026. -
APA
Ridel, D. A., Shinzato, P. Y., & Wolf, D. F. (2015). A clustering-based obstacle segmentation approach for urban environments. In Proceedings. Piscataway, NJ: IEEE. doi:10.1109/LARS-SBR.2015.58 -
NLM
Ridel DA, Shinzato PY, Wolf DF. A clustering-based obstacle segmentation approach for urban environments [Internet]. Proceedings. 2015 ;[citado 2026 abr. 01 ] Available from: https://doi.org/10.1109/LARS-SBR.2015.58 -
Vancouver
Ridel DA, Shinzato PY, Wolf DF. A clustering-based obstacle segmentation approach for urban environments [Internet]. Proceedings. 2015 ;[citado 2026 abr. 01 ] Available from: https://doi.org/10.1109/LARS-SBR.2015.58 - A road following approach using artificial neural networks combinations
- Exploiting fully convolutional neural networks for fast road detection
- Desvio de obstáculos utilizando um método estéreo semi-global
- Vehicle detection with planar laser using different machine learning techniques
- Automatic semantic waypoint mapping applied to autonomous vehicles
- UAV route planning for active disease classification
- Cooperative collision warning for driving assistance
- Monte Carlo localization on gaussian process occupancy maps for urban environments
- Road terrain detection: avoiding common obstacle detection assumptions using sensor fusion
- Outdoor mapping using mobile robots and laser range finders
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