Sébastien Levilly

[LS2N_ROMAS_IPI]Raw-Earth 3D Printing Dataset

Yunfan Li, Elodie Paquet, Sébastien Levilly, Mathieu Riand

Raw-Earth 3D Printing Dataset The Raw-Earth 3D Printing Dataset is an open dataset developed from visual recordings acquired during an experimental campaign on robotic extrusion-based 3D printing of earthen materials. The original experiments were conducted by the SmartAMP research project through the …

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[LS2N_ROMAS_IPI]Raw-Earth 3D Printing Dataset

Yunfan Li, Elodie Paquet, Sébastien Levilly, Mathieu Riand

Raw-Earth 3D Printing Dataset The Raw-Earth 3D Printing Dataset is an open dataset developed from visual recordings acquired during an experimental campaign on robotic extrusion-based 3D printing of earthen materials. The original experiments were conducted by the SmartAMP research project through the …

fr (code pays fourni par la source)

High-level multi-robot coordination in a shared workspace for pick-and-place operations using MILP optimization and heuristic for conflict resolution

Younes El Ghazi, Arnaud Laurent, Kévin Subrin, Sébastien Levilly et autres

Efficient coordination of multiple robots in shared workspaces for pick-and-place operations poses significant challenges due to spatial and temporal conflicts. This paper presents a high-level multi-robot coordination framework specifically targeting scenarios with overlapping targets and tightly constrained environments, validated across 240 instances …

fr (code pays fourni par la source)

[LS2N_ROMAS_IPI]Concrete patch classification

Yunfan Li, Sébastien Levilly, Paquet Elodie, Mathieu Riand

concrete_patch_classification This dataset is based on the original dataset I3DCP introduced in Rill-García, R., Dokladalova, E., Dokládal, P., Caron, J.-F., Mesnil, R., Margerit, P., & Charrier, M. (2022). Inline monitoring of 3D concrete printing using computer vision. Additive Manufacturing, 60, 103175. https://doi.org/10.1016/j.addma.2022.103175 …

fr (code pays fourni par la source)

Super-Resolution and Segmentation of 4D Flow MRI Using Deep Learning and Weighted Mean Frequencies

Simon Perrin, Sébastien Levilly, Harold Mouchère, Jean‐Michel Serfaty

fr (code pays fourni par la source)

Évaluation des CNN pour la super-résolution de l’IRM de flux 4D

Simon Perrin, Sébastien Levilly, Harold Mouchère, Jean‐Michel Serfaty

International audience

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Weighted Mean Frequencies: a handcraft Fourier feature for 4D Flow MRI segmentation

Simon Perrin, Sébastien Levilly, Huajun Sun, Harold Mouchère et autres

In recent decades, the use of 4D Flow MRI images has enabled the quantification of velocity fields within a volume of interest and along the cardiac cycle. However, the lack of resolution and the presence of noise in these biomarkers are significant …

fr (code pays fourni par la source)

Navier-Stokes-Based Regularization For 4D Flow MRI Super-Resolution

Sébastien Levilly, Saïd Moussaoui, Jean‐Michel Serfaty

International audience

fr (code pays fourni par la source)

Allocation et coordination des mouvements de robots en espace partagé : une approche par la recherche opérationnelle

Younes El Ghazi, Laurent Arnaud, Kévin Subrin, Sébastien Levilly et autres

National audience

fr (code pays fourni par la source)

Task Allocation and Motion Planning Strategies for Multi-robot Cooperation

Younes El Ghazi, Kévin Subrin, Sébastien Levilly, Harold Mouchère et autres

fr (code pays fourni par la source)

Optimizing Task Allocation and Movement Coordination in Autonomous Robotic Systems

Younes El Ghazi, Olivier Cardin, Laurent Arnaud, Kévin Subrin et autres

Segmentation-Free Velocity Field Super-Resolution on 4D Flow MRI

Sébastien Levilly, Saïd Moussaoui, Jean‐Michel Serfaty

Blood flow observation is of high interest in cardiovascular disease diagnosis and assessment. For this purpose, 2D Phase-Contrast MRI is widely used in the clinical routine. 4D flow MRI sequences, which dynamically image the anatomic shape and velocity vectors within a region …

fr (code pays fourni par la source)