F. Chiabrando

: A Scan–to–BIM Workflow towards Digital Twin Integration

Deep Learning-Based Underwater Mapping of Posidonia Oceanica from Satellite Data for Coastal Habitat Monitoring

Results show that open-access satellite data combined with robust semantic segmentation models can provide a reliable and non-destructive framework for seagrass mapping in complex coastal environments.

Accessible 3D Gaussian Splatting from Consumer-Grade UAVs as a Framework for Rapid Documentation of Cultural Heritage

Cultural heritage faces accelerating threats from armed conflict and climate-induced disasters, generating emergency scenarios in which the window for documentation may be measured in hours. Traditional high-fidelity workflows such as Terrestrial Laser Scanning and survey-grade Structure-from-Motion campaign can be ope...

Photogrammetry and 3D Gaussian Splatting for Cultural Heritage. Pros, Cons and Main Differences

Abstract. This paper presents a comparative analysis of traditional photogrammetric methods and 3D Gaussian Splatting (3DGS) technology in the digitisation of Cultural Heritage (CH). Two representative datasets, differing in scale and image acquisition conditions, were selected to systematically evaluate the performanc...

GNSS–Camera Systems for Heritage Documentation. Accuracy assessment of measurements of inaccessible points and preliminary tests in photogrammetric applications

Abstract. The measurement of Ground Control Points is a crucial but time-consuming step in photogrammetric surveys, especially in the Built Heritage domain. This study investigates the use of a new generation Global Navigation Satellite System receiver equipped with an integrated camera to measure inaccessible points (...

Monocular Depth Estimation from UAV Images for 3D Documentation of Architectural Heritage: A Depth Anything V2-Based Approach

Although accuracy is still insufficient for demanding metric applications, the results support the use of MDE as a complementary source for thematic interpretation, scene understanding, robotics, navigation, and related tasks where strict geometric precision is not required.

AI-Driven 3D reconstruction and quality assessment for Cultural Heritage: first results from the HERITALISE project

The first results of the AI-based processing pipeline developed within the HERITALISE project are presented, applied to three multiscale case studies at the Reggia di Venaria Reale, demonstrating strong photorealistic rendering capabilities, particularly for complex material properties and geometrically challenging int...