EPiCS: expert-based point cloud segmentation of off-road LiDAR point clouds using graph neural networks (2025)
- Authors:
- USP affiliated authors: GRASSI JUNIOR, VALDIR - EESC ; WOLF, DENIS FERNANDO - ICMC ; AMARAL, WELLINGTON MATOS - ICMC ; GOMES, IAGO PACHECO - ICMC ; ROSERO, LUIS ALBERTO ROSERO - ICMC
- Unidades: EESC; ICMC
- DOI: 10.1109/ICAR65334.2025.11338634
- Subjects: APRENDIZAGEM PROFUNDA; ANÁLISE DE DESEMPENHO; ANÁLISE DE DADOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Advanced Robotics - ICAR
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
AMARAL, Wellington Matos et al. EPiCS: expert-based point cloud segmentation of off-road LiDAR point clouds using graph neural networks. Proceedings, 2025Tradução . . Disponível em: https://doi.org/10.1109/ICAR65334.2025.11338634. Acesso em: 02 abr. 2026. -
APA
Amaral, W. M., Gomes, I. P., Rosero, L. A. R., Grassi Júnior, V., & Wolf, D. F. (2025). EPiCS: expert-based point cloud segmentation of off-road LiDAR point clouds using graph neural networks. Proceedings. doi:10.1109/ICAR65334.2025.11338634 -
NLM
Amaral WM, Gomes IP, Rosero LAR, Grassi Júnior V, Wolf DF. EPiCS: expert-based point cloud segmentation of off-road LiDAR point clouds using graph neural networks [Internet]. Proceedings. 2025 ;[citado 2026 abr. 02 ] Available from: https://doi.org/10.1109/ICAR65334.2025.11338634 -
Vancouver
Amaral WM, Gomes IP, Rosero LAR, Grassi Júnior V, Wolf DF. EPiCS: expert-based point cloud segmentation of off-road LiDAR point clouds using graph neural networks [Internet]. Proceedings. 2025 ;[citado 2026 abr. 02 ] Available from: https://doi.org/10.1109/ICAR65334.2025.11338634 - A review on multi-scenario decision-making for urban autonomous driving
- A comparative analysis of class imbalance-aware loss functions for semantic segmentation of off-road scenarios for autonomous vehicles
- Comparative analysis of transformer-based segmentation networks for off-road scenes
- Autonomous driving of trucks in off-road environment
- A health monitoring system with hybrid bayesian network for autonomous vehicle
- Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making
- Late-fusion multimodal human detection based on RGB and thermal images for robotic perception
- A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving
- Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads
- Interaction-aware maneuver prediction for autonomous vehicles using interaction graphs
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