Francesco Nex

Neural Radiance Field (NeRF) stands as a category of neural networks adept at represent and render realistic 3D scenes environments using a set of 2D images.

Unmanned Aerial Vehicles (UAVs) have found significant applications in road monitoring, offering a versatile and efficient solution for infrastructur

Unmanned Aerial Vehicles (UAVs) are increasingly used within a Mobile Edge Computation (MEC) network where the UAV is made intelligent by

Unmanned Aerial Vehicles (UAVs) are increasingly used by public and private organizations such as the Politie, Brandweer or Rijkswatersta

In the past couple of years, Neural Radiance Fields (NeRF) [1] and methods derived from it have become a popular choice for solving different tasks s

Glaciers store majority of the freshwater found in our planet.

The student will initially revise the existing literature on image matching algorithms using CNN as backbone.

When infrastructure companies refurbish asphalt, a road-marking inventory needs to be created in advance to allow for accurate road marking replacement.

Unmanned Aerial Vehicles (UAVs) provide excellent opportunities for more efficient and detailed infrastructure monitoring.

Indoor scene understanding is important for tasks like indoor navigation and semantic mapping.