Exploiting fully convolutional neural networks for fast road detection (2016)
- Authors:
- Autor USP: WOLF, DENIS FERNANDO - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICRA.2016.7487486
- Subjects: COMPUTAÇÃO EVOLUTIVA; SISTEMAS EMBUTIDOS; ROBÓTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos, CA
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Robotics and Automation - ICRA 2016
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MENDES, Caio César Teodoro e FRÉMONT, Vincent e WOLF, Denis Fernando. Exploiting fully convolutional neural networks for fast road detection. 2016, Anais.. Los Alamitos, CA: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICRA.2016.7487486. Acesso em: 11 fev. 2026. -
APA
Mendes, C. C. T., Frémont, V., & Wolf, D. F. (2016). Exploiting fully convolutional neural networks for fast road detection. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ICRA.2016.7487486 -
NLM
Mendes CCT, Frémont V, Wolf DF. Exploiting fully convolutional neural networks for fast road detection [Internet]. Proceedings. 2016 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1109/ICRA.2016.7487486 -
Vancouver
Mendes CCT, Frémont V, Wolf DF. Exploiting fully convolutional neural networks for fast road detection [Internet]. Proceedings. 2016 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1109/ICRA.2016.7487486 - A road following approach using artificial neural networks combinations
- 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
- A clustering-based obstacle segmentation approach for urban environments
- 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
Informações sobre o DOI: 10.1109/ICRA.2016.7487486 (Fonte: oaDOI API)
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