The paper presents a novel method for automatically creating semantic digital models for
buildings in Manhattan environments from dense point cloud data. Unlike previous …

Deep learning-based scan-to-building information models (BIMs) approaches have gained
popularity in generating as-built BIMs for highway bridges. However, several critical …

Die Eisenbahninfrastruktur besitzt eine hohe Signifikanz für Wirtschaft und Gesellschaft. Das
Durchschnittsalter der Eisenbahnbrücken in Deutschland liegt bei etwa 75 Jahren …

The high effort of operating and maintaining existing infrastructure facilities resulted in a
large stock of structurally deficient bridges in most industrialized countries. Today, the …

Für die rund 65.000 Brückenbauwerke der Verkehrsinfrastruktur in Deutschland existiert ein
erhöhter Bedarf an Instandhaltungs-und Sanierungsmaßnahmen. Diese Maßnahmen …

The Digital Twin (DT) of a bridge is a geometric-semantic model that supports and facilitates
the operation and maintenance process of the structure. For existing structures, the …

Bridges require regular inspection and maintenance during their service life, which is costly
and time-consuming. Digital twins (DT), which incorporate a geometric-semantic model of an …

Digital twins (DT) can decrease the maintenance costs of bridges through a 3D
geometricsemantic model representing the current status of the structure. The 3D model of a …

Digital twins (DTs) can support the operation and maintenance process of bridges by
providing a digital model representing the actual asset in reality. The underlying semantic …

Abstract Building Information Modelling (BIM) is becoming increasingly prevalent in
infrastructure asset management, as it facilitates current management practices. This …