Projecte matriculat
Títol: NeRF-based pipeline for small-UAV-based 3D reconstruction of static objects
Director/a: ROYO CHIC, PABLO
Departament: DAC
Títol: NeRF-based pipeline for small-UAV-based 3D reconstruction of static objects
Data inici oferta: 25-01-2024 Data finalització oferta: 25-09-2024
Estudis d'assignació del projecte:
DG ENG AERO/TELEMÀT
| Tipus: Individual | |
| Lloc de realització: Fora UPC | |
| Supervisor/a extern: Filip Lemic | |
| Institució/Empresa: i2Cat | |
| Titulació del Director/a: Senior researcher | |
| Nom del segon director/a (UPC): Sergi Abadal | |
| Departament 2n director/a: | |
| Paraules clau: | |
| NERF, 3D, drones, reconstruction, position | |
| Descripció del contingut i pla d'activitats: | |
| This BSc thesis targets the design, implementation, and evaluation of NeRF-based pipeline for 3D digital reconstruction of static objects using their pictures taken by a fleet of small Unmanned Aerial Vehicles (UAVs). For that purpose, a NeRF will be designed, implemented, and trained for enabling the 3D reconstruction functionality. Experimental assessment using an existing small drone setup will be performed to benchmark the solution against the existing baseline. The developed pipeline is envisioned to eventually be contributed to the existing small UAV setup for enhancing its performance and functionalities.
The project will have 3 phases: i) The first phase will focus on the design and development of a NERF to be applied for 3D object reconstruction. ii) The second phase will focus on the training, testing, and optimization of the proposed NeRF-based object reconstruction pipeline. iii) The third phase of the project the NeRF-based pipeline will be integrated with the existing small UAV setup and its reconstruction performance will be assessed experimentally and compared against an existing baseline based on the Structure-from-Motion (SfM) algorithm. Within this phase, the applicability of the NeRF-based baseline for anomaly detection in 3D static objects will also be assessed and demonstrated. |
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| Orientació a l'estudiant: | |
| The student will require to have knowledge about NeRFs, Python and its relevant libraries, deep learning tools, Aeronautics (everything related to the improvements of the flight and performance of the drones). The commitment will be full time. There is no scholarship involved in this case. | |
| Requereix activitats hardware: No | |
| Requereix activitats software: No | |
| Horari d'atenció a estudiants per a l'assignació de projecte: Mañanas |
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