Detection of RC Spalling Damage and Quantification of Its Key Properties from 3D Point Cloud

[1]  E. del Rey Castillo,et al.  Effect of FRP Spike Anchor Installation Quality and Concrete Repair on the Seismic Behavior of FRP-Strengthened RC Columns , 2021 .

[2]  Young-Jin Cha,et al.  Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning , 2020 .

[3]  Sung-Han Sim,et al.  Automated bridge component recognition from point clouds using deep learning , 2020, Structural Control and Health Monitoring.

[4]  Xiangyu Wang,et al.  Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach , 2019, Automation in Construction.

[5]  Jiwen Lu,et al.  DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[6]  Hangbin Wu,et al.  Concrete Spalling Detection for Metro Tunnel from Point Cloud Based on Roughness Descriptor , 2019, J. Sensors.

[7]  J. Ingham,et al.  Seismic behavior of RC columns flexurally strengthened with FRP sheets and FRP anchors , 2018, Composite Structures.

[8]  Anna Fryskowska,et al.  A no-reference method of geometric content quality analysis of 3D models generated from laser scanning point clouds for hBIM , 2018, Journal of Cultural Heritage.

[9]  Roberto Marsili,et al.  Comparison between point cloud processing techniques , 2018, Measurement.

[10]  Ruodan Lu,et al.  Detection of Structural Components in Point Clouds of Existing RC Bridges , 2018, Comput. Aided Civ. Infrastructure Eng..

[11]  Sergej Muhic,et al.  SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition , 2018, Automation in Construction.

[12]  André Borrmann,et al.  Integrating RC Bridge Defect Information into BIM Models , 2018, J. Comput. Civ. Eng..

[13]  Jianqiang Wang,et al.  Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment , 2018, IEEE Transactions on Industrial Informatics.

[14]  Jerome F. Hajjar,et al.  Laser-based surface damage detection and quantification using predicted surface properties , 2017 .

[15]  J. Y. Rau,et al.  Bridge Crack Detection Using Multi-Rotary Uav and Object-Base Image Analysis , 2017 .

[16]  Peter Kyrinovič,et al.  Automation of point cloud processing to increase the deformation monitoring accuracy , 2017 .

[17]  Chih-Chen Chang,et al.  Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM , 2016 .

[18]  Luigi Barazzetti,et al.  BIM from laser scans… not just for buildings: NURBS-based parametric modeling of a medieval bridge , 2016 .

[19]  Reem Zeibak-Shini,et al.  Preparation of Synthetic As-Damaged Models for Post-Earthquake BIM Reconstruction Research , 2016, J. Comput. Civ. Eng..

[20]  C. Hancock,et al.  A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures , 2016 .

[21]  Jie Gong,et al.  Image-Based 3D Reconstruction for Posthurricane Residential Building Damage Assessment , 2016, J. Comput. Civ. Eng..

[22]  Chih-Chen Chang,et al.  Localization and Quantification of Concrete Spalling Defects Using Terrestrial Laser Scanning , 2015, J. Comput. Civ. Eng..

[23]  Debra F. Laefer,et al.  Application of terrestrial laser scanner in bridge inspection: Review and an opportunity , 2014 .

[24]  Ashutosh Bagchi,et al.  Image-based retrieval of concrete crack properties for bridge inspection , 2014 .

[25]  Markus König,et al.  Achievements and Challenges in Machine Vision-Based Inspection of Large Concrete Structures , 2014 .

[26]  Maurice Murphy,et al.  Semi-automatic generation of as-built BIM façade geometry from laser and image data , 2014, J. Inf. Technol. Constr..

[27]  Yasuhiro Koda,et al.  Quantitative scaling evaluation of concrete structures based on terrestrial laser scanning , 2013 .

[28]  Sanjeev Kumar Verma,et al.  Review of Nondestructive Testing Methods for Condition Monitoring of Concrete Structures , 2013 .

[29]  Jason Ingham,et al.  Assessing pre-tensioned reinforcement corrosion within the New Zealand concrete bridge stock , 2013 .

[30]  Reginald DesRoches,et al.  Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments , 2012, Adv. Eng. Informatics.

[31]  Reginald DesRoches,et al.  Comprehensive property retrieval and measurement of concrete spalling using machine vision for post-earthquake safety assessments , 2012, Smart Structures.

[32]  Christian Koch,et al.  Pothole detection in asphalt pavement images , 2011, Adv. Eng. Informatics.

[33]  Ioannis Brilakis,et al.  Detection of large-scale concrete columns for automated bridge inspection , 2010 .

[34]  Manolis I. A. Lourakis,et al.  Toward automated generation of parametric BIMs based on hybrid video and laser scanning data , 2010, Adv. Eng. Informatics.

[35]  G. A. Khoury,et al.  An approach for modelling concrete spalling in finite strains , 2010, Math. Comput. Simul..

[36]  Luigi Barazzetti,et al.  Crack measurement: Development, testing and applications of an automatic image-based algorithm , 2009 .

[37]  Yuki Nakayama,et al.  Probability-Based Seismic Assessment of Buildings, considering Post-Earthquake Safety , 2008 .

[38]  Hojjat Adeli,et al.  A New Approach for Health Monitoring of Structures: Terrestrial Laser Scanning , 2007, Comput. Aided Civ. Infrastructure Eng..

[39]  Tara C. Hutchinson,et al.  Improved image analysis for evaluating concrete damage , 2006 .

[40]  Paul A. Fuchs,et al.  LASER-BASED INSTRUMENTATION FOR BRIDGE LOAD TESTING , 2004 .

[41]  Shamsad Ahmad Reinforcement corrosion in concrete structures, its monitoring and service life prediction - A review , 2003 .

[42]  F. Windmeijer,et al.  An R-squared measure of goodness of fit for some common nonlinear regression models , 1997 .

[43]  이기준,et al.  Delaunay Triangulation을 이용한 공간데이타마이닝 , 1997 .

[44]  V. T. Rajan,et al.  Optimality of the Delaunay triangulation in Rd , 1991, SCG '91.

[45]  Ronald N. Bracewell,et al.  The Fourier Transform and Its Applications , 1966 .

[46]  Riadh Al-Mahaidi,et al.  Application of Hybrid Simulation for Collapse Assessment of Post-Earthquake CFRP-Repaired RC Columns , 2017 .

[47]  Chih-Chen Chang,et al.  A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning , 2015 .

[48]  Aseem Singh Rawat,et al.  LASER BASED INSTRUMENTATION , 2014 .

[49]  Ernest Hirsch,et al.  Error Evaluation in a Stereovision-Based 3D Reconstruction System , 2010, EURASIP J. Image Video Process..

[50]  Satyandra K. Gupta,et al.  Retrieving Matching CAD Models by Using Partial 3D Point Clouds , 2007 .

[51]  R. Reulke,et al.  Remote Sensing and Spatial Information Sciences , 2005 .

[52]  Yoshiaki Nakano,et al.  Post-Earthquake Damage Evaluation for R/C Buildings , 2004 .