On the public citation graph

Automated High-Precision Digital Twin Modeling of Building Façade Defects with Geobim-Assisted Registration

https://doi.org/10.2139/ssrn.4869787
0 signed · 33 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/suco.202000029openalex-snapshot
Building information modeling and artificial intelligence : Advanced technologies for the digitalisation of seismic damage in existing buildings
inferredcites →https://doi.org/10.1007/s13349-021-00525-5openalex-snapshot
Automated generation of FE models of cracked RC beams based on 3D point clouds and 2D images
inferredcites →https://doi.org/10.1016/j.aei.2019.100937openalex-snapshot
Registering georeferenced photos to a building information model to extract structures of interest
inferredcites →https://doi.org/10.1016/j.aei.2020.101061openalex-snapshot
Review visual attention and spatial memory in building inspection: Toward a cognition-driven information system
inferredcites →https://doi.org/10.1016/j.aei.2020.101186openalex-snapshot
Methods for the Automated Assignment and Comparison of Building Damage Geometries
inferredcites →https://doi.org/10.1016/j.aei.2020.101206openalex-snapshot
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system
inferredcites →https://doi.org/10.1016/j.aei.2023.102196openalex-snapshot
Improving completeness and accuracy of 3D point clouds by using deep learning for applications of digital twins to civil structures
inferredcites →https://doi.org/10.1016/j.aei.2023.102314openalex-snapshot
An ontology-based approach of automatic compliance checking for structural fire safety requirements
inferredcites →https://doi.org/10.1016/j.autcon.2018.05.002openalex-snapshot
Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones
inferredcites →https://doi.org/10.1016/j.autcon.2018.08.018openalex-snapshot
Automatic segmentation of 3D point clouds of rubble masonry walls, and its application to building surveying, repair and maintenance
inferredcites →https://doi.org/10.1016/j.autcon.2022.104284openalex-snapshot
Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection
inferredcites →https://doi.org/10.1016/j.autcon.2023.104842openalex-snapshot
Damage-augmented digital twins towards the automated inspection of buildings
inferredcites →https://doi.org/10.1016/j.autcon.2024.105405openalex-snapshot
High-resolution infrastructure defect detection dataset sourced by unmanned systems and validated with deep learning
inferredcites →https://doi.org/10.1016/j.compind.2019.03.004openalex-snapshot
Dynamic BIM-augmented UAV safety inspection for water diversion project
inferredcites →https://doi.org/10.1016/j.compind.2023.103881openalex-snapshot
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures
inferredcites →https://doi.org/10.1016/j.compind.2023.103911openalex-snapshot
Deep CNN-based visual defect detection: Survey of current literature
inferredcites →https://doi.org/10.1016/j.eng.2018.11.030openalex-snapshot
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
inferredcites →https://doi.org/10.1016/j.jobe.2024.108954openalex-snapshot
Single drone-based 3D reconstruction approach to improve public engagement in conservation of heritage buildings: A case of Hakka Tulou
inferredcites →https://doi.org/10.1016/j.rser.2017.08.029openalex-snapshot
The relationship between quality defects and the thermal performance of buildings
inferredcites →https://doi.org/10.1016/j.scs.2022.104009openalex-snapshot
Study on city digital twin technologies for sustainable smart city design: A review and bibliometric analysis of geographic information system and building information modeling integration
inferredcites →https://doi.org/10.1061/(asce)cf.1943-5509.0001185openalex-snapshot
Synthesis of Unmanned Aerial Vehicle Applications for Infrastructures
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000915openalex-snapshot
Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning
inferredcites →https://doi.org/10.1108/ci-07-2021-0129openalex-snapshot
Unmanned aerial vehicles (UAV) as a tool for visual inspection of building facades in AEC+FM industry
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/mice.12928openalex-snapshot
Automatic concrete defect detection and reconstruction by aligning aerial images onto semantic-rich building information model
inferredcites →https://doi.org/10.1117/12.2637913openalex-snapshot
A novel bridge monitoring system implementing ground-based, structural and remote sensing information into a GIS-based catalogue
inferredcites →https://doi.org/10.1155/2022/2194949openalex-snapshot
Digital Twin Technology for Bridge Maintenance using 3D Laser Scanning: A Review
inferredcites →https://doi.org/10.2139/ssrn.4677638openalex-snapshot
Conse: An Ontology for Visual Representation and Semantic Enrichment of Digital Images in Construction Sites
inferredcites →https://doi.org/10.24002/jts.v16i2.4777openalex-snapshot
UAV-BASED PHOTOGRAMMETRY DATA TRANSFORMATION AS A BUILDING INSPECTION TOOL: APPLICABILITY IN MID-HIGH-RISE BUILDING
inferredcites →https://doi.org/10.3846/13923730.2013.795187openalex-snapshot
COMBINED 3D BUILDING SURVEYING TECHNIQUES – TERRESTRIAL LASER SCANNING (TLS) AND TOTAL STATION SURVEYING FOR BIM DATA MANAGEMENT PURPOSES
inferredcites →https://doi.org/10.48550/arxiv.2007.12099openalex-snapshot
PP-YOLO: An Effective and Efficient Implementation of Object Detector
inferredcites →https://doi.org/10.48550/arxiv.2104.10419openalex-snapshot
PP-YOLOv2: A Practical Object Detector
inferredcites →https://doi.org/10.48550/arxiv.2203.16250openalex-snapshot
PP-YOLOE: An evolved version of YOLO
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.