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Detection of structural faults in piers of masonry arch bridges through automated processing of laser scanning data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/stc.1533openalex-snapshot
Reliability analysis of bridge evaluations based on 3D Light Detection and Ranging data
inferredcites →https://doi.org/10.1002/stc.1824openalex-snapshot
Algorithm for the analysis of deformations and stresses due to torsion in a metal beam from LIDAR data
inferredcites →https://doi.org/10.1016/j.advengsoft.2006.06.002openalex-snapshot
PCA-Based algorithm for unsupervised bridge crack detection
inferredcites →https://doi.org/10.1016/j.autcon.2016.02.009openalex-snapshot
Automated processing of large point clouds for structural health monitoring of masonry arch bridges
inferredcites →https://doi.org/10.1016/j.engstruct.2009.11.007openalex-snapshot
Modelling masonry arches shape using terrestrial laser scanning data and nonparametric methods
inferredcites →https://doi.org/10.1016/j.isprsjprs.2012.05.001openalex-snapshot
Segmentation of terrestrial laser scanning data using geometry and image information
inferredcites →https://doi.org/10.1016/j.isprsjprs.2013.02.019openalex-snapshot
Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge
inferredcites →https://doi.org/10.1016/j.isprsjprs.2016.01.019openalex-snapshot
Traffic sign detection in MLS acquired point clouds for geometric and image-based semantic inventory
inferredcites →https://doi.org/10.1016/j.optlastec.2015.01.011openalex-snapshot
Automatic detection of zebra crossings from mobile LiDAR data
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0000497openalex-snapshot
Ancient Stone Bridge Surveying by Ground-Penetrating Radar and Numerical Modeling Methods
inferredcites →https://doi.org/10.1061/(asce)su.1943-5428.0000097openalex-snapshot
Point Cloud Data Conversion into Solid Models via Point-Based Voxelization
inferredcites →https://doi.org/10.1111/mice.12145openalex-snapshot
Automatic Morphologic Analysis of Quasi‐Periodic Masonry Walls from LiDAR
inferredcites →https://doi.org/10.1111/mice.12213openalex-snapshot
Automatic Inventory of Road Cross‐Sections from Mobile Laser Scanning System
inferredcites →https://doi.org/10.1201/b19024-4openalex-snapshot
Laser Scanning Technology: Fundamentals, Principles and Applications in Infrastructure
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Automatic Structure Segmentation and Classification of Complex Railway Tunnels from Mobile Laser Scanning Data
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Two-Stage Bridge Point Cloud Segmentation by Fusing Deep Learning and Heuristic Methods
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Two-Stage Bridge Point Cloud Segmentation by Fusing Deep Learning and Heuristic Methods
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Automated damage location for building structures using the hysteretic model and frequency domain neural networks
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Automated bridge component recognition from point clouds using deep learning
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Using extracted member properties for laser‐based surface damage detection and quantification
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Performance assessment of self‐anchored suspension footbridge using 3D laser scanning
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Assessment of a Medieval Arch Bridge Resorting to Non-destructive Techniques and Numerical Tools
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3D Point Cloud Data Enabled Facility Management: A Critical Review
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Bridge Health Monitoring: A Review of Utilizing the Internet of Things, Digital Twin, and Advanced Technologies
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Evaluation of surface damage for in-service deteriorated agricultural concrete headworks using 3D point clouds by laser scanning method
inferred← citeshttps://doi.org/10.1007/s13349-021-00507-7openalex-snapshot
Ayvalıkemer (Sillyon) historical masonry arch bridge: a multidisciplinary approach for structural assessment using point cloud data obtained by terrestrial laser scanning (TLS)
inferred← citeshttps://doi.org/10.1016/b978-0-08-102110-1.00009-1openalex-snapshot
Laser scanning and its applications to damage detection and monitoring in masonry structures
inferred← citeshttps://doi.org/10.1016/b978-0-12-817784-6.00007-2openalex-snapshot
Smart bridge monitoring
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.09.014openalex-snapshot
Automated detection and decomposition of railway tunnels from Mobile Laser Scanning Datasets
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102911openalex-snapshot
Automatic creation of as-is building information model from single-track railway tunnel point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103224openalex-snapshot
Condition monitoring of bridges with non-contact testing technologies
inferred← citeshttps://doi.org/10.1016/j.conbuildmat.2023.132402openalex-snapshot
Damage detection and monitoring in heritage masonry structures: Systematic review
inferred← citeshttps://doi.org/10.1016/j.culher.2023.10.003openalex-snapshot
Automatic generation of synthetic heritage point clouds: Analysis and segmentation based on shape grammar for historical vaults
inferred← citeshttps://doi.org/10.1016/j.jobe.2023.107440openalex-snapshot
Detection of damage in heritage constructions based on 3D point clouds. A systematic review
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.115905openalex-snapshot
Stone instance segmentation of rubble masonry based on laser scanning point clouds
inferred← citeshttps://doi.org/10.1061/(asce)cf.1943-5509.0001752openalex-snapshot
Structural Parameter Identification of Ancient Stone Arch Bridge via Three-Dimensional Laser Ranger Scanning
inferred← citeshttps://doi.org/10.1186/s40494-022-00856-6openalex-snapshot
A study on the detection of bulging disease in ancient city walls based on fitted initial outer planes from 3D point cloud data
inferred← citeshttps://doi.org/10.3233/jifs-189009openalex-snapshot
Anomaly detection of bridge health monitoring data based on KNN algorithm
inferred← citeshttps://doi.org/10.32604/sdhm.2025.061549openalex-snapshot
In-Plane Bearing Capacity of CFST Truss Arch Bridges with Geometric Defects
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Nuove prospettive sulla ferrovia Circumetnea: un viaggio tra archivi e rappresentazione digitale
inferred← citeshttps://doi.org/10.3390/app13116393openalex-snapshot
Investigation of Actual In-Plane Geometric Imperfections of Steel Tied-Arch Bridges
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Exploring the Potential of iPad-LiDAR Technology for Building Renovation Diagnosis: A Case Study
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Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes
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Deep-Learning-Based Classification of Point Clouds for Bridge Inspection
inferred← citeshttps://doi.org/10.3390/rs13071369openalex-snapshot
Spatio-Temporal Models for Vibration Monitoring of Elongated Structures Using Profile Laser Scans
inferred← citeshttps://doi.org/10.3390/rs16132263openalex-snapshot
High-Precision Monitoring Method for Bridge Deformation Measurement and Error Analysis Based on Terrestrial Laser Scanning
inferred← citeshttps://doi.org/10.3390/rs16234438openalex-snapshot
Remote Sensing in Bridge Digitalization: A Review
inferred← citeshttps://doi.org/10.3390/s22010265openalex-snapshot
Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry
inferred← citeshttps://doi.org/10.3390/s22124610openalex-snapshot
LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems
inferred← citeshttps://doi.org/10.3390/su16083278openalex-snapshot
Reverse Engineering of Building Layout Plan through Checking the Setting out of a Building on a Site Using 3D Laser Scanning Technology for Sustainable Building Construction: A Case Study
inferred← citeshttps://doi.org/10.38094/jastt204118openalex-snapshot
Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater
inferred← citeshttps://doi.org/10.38094/sgej2018openalex-snapshot
Point Cloud Approach For Modelling The Lost Volume of The Fillaboa Bridge Cutwater
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