Terrestrial Laser Scanning-Based Structural Damage Assessment
By M. Olsen, F. Kuester, B. Chang, T. Hutchinson. Journal of computing in civil engineering, 2010
301 citations recorded by the source corpus.
Subfields: Environmental Engineering, Geology, Instrumentation
View Paper: https://www.semanticscholar.org/paper/40ac17f6f0b2568773cb5bd31edb27e7329bb218
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Min-koo Kim
- Jack C. P. Cheng
- J. Leroux
- Hoon Sohn
- Chih-Chen Chang
- Dimitri Lague
- Nicolas Brodu
- Mark W. Smith
In Geology
- Min-koo Kim
- Jack C. P. Cheng
- Hoon Sohn
- Chih-Chen Chang
- Nicolas Brodu
- J. Leroux
- Qian Wang
- Dimitri Lague
In Instrumentation
Citations in the corpus
- A Review of LIDAR Radiometric Processing: From Ad Hoc Intensity Correction to Rigorous Radiometric Calibration (2015, methodology): “Several researchers used LIDAR intensity to detect cracks in concrete structural components in their laboratory tests or post-disaster field investigations [42–44].”
- Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM (2016, background): “Laser scanning directly acquires 3D data with good accuracy (typically 2–6 mm at 50 m [33]) and high measurement rate (up to 960,000 points/s [14]).”
- Automated dimensional quality assessment of precast concrete panels using terrestrial laser scanning (2014, background): “Other TLS-based quality assessment studies for concrete structures have mainly focused on detection of damages such as large cracks, flatness and spallings [40,39,28,25].”
- A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning (2015, methodology): “[35] proposed a volume loss quantification technique for a reinforced concrete structure.”
- Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) (2013, background): “tion software. Surface change is calculated by the distance between a point cloud and a reference 3D mesh or theoretical model (Cignoni and Rocchini, 1998), see also Monserrat and Crosetto (2008) and Olsen et al. (2010) for recent reviews). This approach works well on flat surfaces as a mesh corresp”