A clustering-based obstacle segmentation approach for urban environments

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

Informações sobre o DOI: 10.1109/LARS-SBR.2015.58 (Fonte: oaDOI API)

A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

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: 27 jan. 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 jan. 27 ] 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 jan. 27 ] Available from: https://doi.org/10.1109/LARS-SBR.2015.58