Mathis Baubriaud
PhD student (access thesis page)
Team(s) | Imagine |
Institution | Autre |
Location | Écully (ECL) |
mathis.baubriaud at liris.cnrs.fr | |
Personal page | https://perso.liris.cnrs.fr/mbaubriaud |
Thesis | Automated reporting on the progress of a construction site using mixed reality (click to view details) |
Publications (IdHAL : mathis-baubriaud)
Publications LIRIS pour Mathis Baubriaud (2)
- 2024 (1)
- Journals (1)
- International journals with peer review (1)
- Mathis Baubriaud, Stéphane Derrode, René Chalon & Kevin Kernn (2024). "Accelerating Indoor Construction Progress Monitoring with Synthetic Data-Powered Deep Learning". IAARC, pp. 792-799. doi : 10.22260/ISARC2024/0103. HAL : hal-04588885. .
- 2023 (1)
- Conferences (1)
- National conferences with peer review (1)
- Mathis Baubriaud, Stéphane Derrode, R Chalon & K Kernn (2023). "Vers un outil d'inspection temps réel de l'état d'avancement d'un chantier de construction par RA". CORESA (COmpression et REprésentation des Signaux Audiovisuels), 9 juin 2023, Lille (France). HAL : hal-04137473. .
Publications hors LIRIS
Publication hors LIRIS pour Mathis Baubriaud (1)
- 2023 (1)
- Others (1)
- Mathis Baubriaud (2023). "MEP-SEG DATASET : SYNTHETIC IMAGES GENERATED FROM BUILDING INFORMATION MODELING (BIM)". This dataset has been generated from 3 constructions models, transferred from Autodesk Revit to NVIDIA Isaac Sim. It contains 8751 samples of RGB images associated with the semantic segmentation masks and label files for 13 classes (rectangular_sheath, circular_sheath, pipe, air_vent, fan_coil, stair, wall, floor, pipe_accessory, framework, radiant_panel, climate_engineering_equipment, ceiling, handrail, roof, cable_tray, pole). HAL : hal-04488735.