TY  - JOUR
A1  - Isailović, Dušan
A1  - Stojanovic, Vladeta
A1  - Trapp, Matthias
A1  - Richter, Rico
A1  - Hajdin, Rade
A1  - Döllner, Jürgen Roland Friedrich
T1  - Bridge damage
BT  - detection, IFC-based semantic enrichment and visualization
JF  - Automation in construction : an international research journal
N2  - Building Information Modeling (BIM) representations of bridges enriched by inspection data will add tremendous value to future Bridge Management Systems (BMSs). This paper presents an approach for point cloud-based detection of spalling damage, as well as integrating damage components into a BIM via semantic enrichment of an as-built Industry Foundation Classes (IFC) model. An approach for generating the as-built BIM, geometric reconstruction of detected damage point clusters and semantic-enrichment of the corresponding IFC model is presented. Multiview-classification is used and evaluated for the detection of spalling damage features. The semantic enrichment of as-built IFC models is based on injecting classified and reconstructed damage clusters back into the as-built IFC, thus generating an accurate as-is IFC model compliant to the BMS inspection requirements.
KW  - damage detection
KW  - building information modeling
KW  - 3D point clouds
KW  - multiview classification
KW  - bridge management systems
Y1  - 2020
U6  - https://doi.org/10.1016/j.autcon.2020.103088
SN  - 0926-5805
SN  - 1872-7891
VL  - 112
PB  - Elsevier
CY  - Amsterdam
ER  -