SUPR
3D Deep Learning
Dnr:

NAISS 2025/23-342

Type:

NAISS Small Storage

Principal Investigator:

David Nordström

Affiliation:

Chalmers tekniska högskola

Start Date:

2025-06-09

End Date:

2026-05-01

Primary Classification:

10210: Artificial Intelligence

Webpage:

Allocation

Abstract

3D scene understanding is crucial for image matching and depth estimation which in turn can be used for downstream applications within autonomous driving, scene reconstruction and robotics. To create a strong 3D scene extractor one needs plenty of data. This data is often quite large.