# A BIM Based Framework for Damage Segmentation, Modeling, and Visualization Using IFC
## Abbreviations
[CrossRef]* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments. _J. Cir. Struct. Health Monit._**2016**, \(6\), 703-714. [CrossRef]
* [PERSON] (2014) [PERSON] Using Building Information Modeling to Track and Assess the Structural Condition of Bridges. Master's Thesis, Colorado State University, Fort Collins, CO, USA, 2014. * [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Bridge Information Modeling for Inspection and Evaluation. _J. Bridge Eng._**2016**, _21_, 04105076. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] A semantic modeling approach for the automated detection and interpretation of structural damage. _Autom. Constr._**2021**, _128_, 103739. [CrossRef]
* [PERSON] et al. (2020) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON], [PERSON] Bridge damage: Detection, IFC-based semantic enrichment and visualization. _Autom. Constr._**2020**, _112_, 103088. [CrossRef]
* [PERSON] and [PERSON] (2013) [PERSON]; [PERSON] [PERSON] Visualizing Bridge Inspection with 2D + 1 Software. In _Computing in Civil Engineering_; [PERSON], [PERSON], [PERSON], [PERSON]; American Society of Civil Engineers: Reston, VA, USA, 2013; pp. 857-864. [CrossRef]
* [PERSON] (2020) [PERSON]; [PERSON] Modeling Geometry and Semantics of Physical Damages using IFC. In _EG-ICE 2020 Workshop on Intelligent Computing in Engineering_; [PERSON], [PERSON], [PERSON]; Universitatsverlag der TU Berlin: Berlin, Germany, 2020; pp. 144-153. * [PERSON] (2021) [PERSON]; [PERSON] Modeling Physical Damages Using the Industry Foundation Classes--A Software Evaluation. In Proceedings of the 18 th International Conference on Computing in Civil and Building Engineering, Sao Paulo, Brazil, 18-20 August 2021; [PERSON], [PERSON], [PERSON], Eds. ; Springer: Cham, Switzerland, 2021; Volume 98, pp. 507-518. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A robotic system towards concrete structure spalling and crack database. In Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), Macao, China, 5-8 December 2017; pp. 1276-1281. [CrossRef]
* [PERSON] et al. (2018) [PERSON], [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Semantic Metric 3D Reconstruction for Concrete Inspection. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, UT, USA, 18-22 June 2018; pp. 1624-16248. [CrossRef]
* [PERSON] (2009) [PERSON] Image Segmentation. In _Encyclopedia of Database Systems_; [PERSON]; Springer: Boston, MA, USA, 2009; pp. 1389-1395. * [PERSON] and [PERSON] (2001) [PERSON]; [PERSON] _The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications_; The MIT Press: Cambridge, MA, USA, 2001. [CrossRef]
* [PERSON] (2016) [PERSON]; [PERSON] _Photogrammetric Computer Vision_; Springer: Berlin/Heidelberg, Germany, 2016. [CrossRef]
* [PERSON] et al. (2013) [PERSON]; [PERSON]; [PERSON] Go-ICP: Solving 3D Registration Efficiently and Globally Optimally. In Proceedings of the 2013 IEEE International Conference on Computer Vision, Sydney, Australia, 1-8 December 2013; pp. 1457-1464. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration. _IEEE Trans. Pattern Anal. Mach. Intell._**2016**, _38_, 2241-2254. [CrossRef]
* [PERSON] (2020) [PERSON] On Systematic Approaches for Interpreted Information Transfer of Inspection Data from Bridge Models to Structural Analysis. Master's Thesis, Bauhaus Universitat Weimar, Weimar, Germany, 10 February 2020. * [PERSON] et al. (2012) [PERSON]; [PERSON]; [PERSON] Automated Prediction of Condition State Rating in Bridge Inspection.