Related references
Note: Only part of the references are listed.Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images
Yang Xu et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Detection of Structural Components in Point Clouds of Existing RC Bridges
Ruodan Lu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)
Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning
Daeyoon Moon et al.
AUTOMATION IN CONSTRUCTION (2019)
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
Billie F. Spencer et al.
ENGINEERING (2019)
The State of the Art of Data Science and Engineering in Structural Health Monitoring
Yuequan Bao et al.
ENGINEERING (2019)
Three-Dimensional Reconstruction of Structural Surface Model of Heritage Bridges Using UAV-Based Photogrammetric Point Clouds
Yue Pan et al.
REMOTE SENSING (2019)
Digital twinning of existing reinforced concrete bridges from labelled point clusters
Ruodan Lu et al.
AUTOMATION IN CONSTRUCTION (2019)
Video-based multiscale identification approach for tower vibration of a cable-stayed bridge model under earthquake ground motions
Jin Zhao et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2019)
Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018
Qian Wang et al.
ADVANCED ENGINEERING INFORMATICS (2019)
Obtaining as-built models of manufacturing plants from point clouds
Jochen Meidow et al.
AT-AUTOMATISIERUNGSTECHNIK (2018)
A novel unsupervised deep learning model for global and local health condition assessment of structures
Mohammad Hossein Rafiei et al.
ENGINEERING STRUCTURES (2018)
Damage Detection and Finite-Element Model Updating of Structural Components through Point Cloud Analysis
Kasra Ghahremani et al.
JOURNAL OF AEROSPACE ENGINEERING (2018)
Deep Learning for Computer Vision: A Brief Review
Athanasios Voulodimos et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)
A Survey of Surface Reconstruction from Point Clouds
Matthew Berger et al.
COMPUTER GRAPHICS FORUM (2017)
A novel machine learning-based algorithm to detect damage in high-rise building structures
Mohammad Hossein Rafiei et al.
STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS (2017)
GRASS: Generative Recursive Autoencoders for Shape Structures
Jun Li et al.
ACM TRANSACTIONS ON GRAPHICS (2017)
A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS
E. Grilli et al.
3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES (2017)
Parametric as-built model generation of complex shapes from point clouds
Luigi Barazzetti
ADVANCED ENGINEERING INFORMATICS (2016)
Automated processing of large point clouds for structural health monitoring of masonry arch bridges
B. Riveiro et al.
AUTOMATION IN CONSTRUCTION (2016)
The state of the art in structural health monitoring of cable-stayed bridges
Hui Li et al.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING (2016)
ENHANCEMENT OF GENERIC BUILDING MODELS BY RECOGNITION AND ENFORCEMENT OF GEOMETRIC CONSTRAINTS
J. Meidow et al.
XXIII ISPRS CONGRESS, COMMISSION III (2016)
Flexible building primitives for 3D building modeling
B. Xiong et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)
Screened Poisson Surface Reconstruction
Michael Kazhdan et al.
ACM TRANSACTIONS ON GRAPHICS (2013)
Component-wise Controllers for Structure-Preserving Shape Manipulation
Youyi Zheng et al.
COMPUTER GRAPHICS FORUM (2011)
Efficient RANSAC for point-cloud shape detection
R. Schnabel et al.
COMPUTER GRAPHICS FORUM (2007)