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Automatic creation of semantically rich 3D building models from laser scanner data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Object Detection and Localization Using Local and Global Features
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Stacked Hierarchical Labeling
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Detailed Real-Time Urban 3D Reconstruction from Video
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Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction
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Toward automated generation of parametric BIMs based on hybrid video and laser scanning data
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A formalism for utilization of sensor systems and integrated project models for active construction quality control
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Automated retrieval of 3D CAD model objects in construction range images
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Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques
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Knowledge based reconstruction of building models from terrestrial laser scanning data
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Generation and application of rules for quality dependent façade reconstruction
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Towards semantic maps for mobile robots
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Towards 3D Point cloud based object maps for household environments
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Fully automatic registration of multiple 3D data sets
inferredcites →https://doi.org/10.1016/s0921-8890(03)00007-1openalex-snapshot
Learning compact 3D models of indoor and outdoor environments with a mobile robot
inferredcites →https://doi.org/10.1023/b:visi.0000043756.03810.ddopenalex-snapshot
Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images
inferredcites →https://doi.org/10.1061/(asce)0887-3801(2009)23:6(391)openalex-snapshot
Visualization of Construction Progress Monitoring with 4D Simulation Model Overlaid on Time-Lapsed Photographs
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Concrete Column Recognition in Images and Videos
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A Comparative Analysis of Depth-Discontinuity and Mixed-Pixel Detection Algorithms
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3D Reconstruction of Interior Wall Surfaces under Occlusion and Clutter
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The ASDMCon Project: The Challenge of Detecting Defects on Construction Sites
inferredcites →https://doi.org/10.1109/3dpvt.2006.5openalex-snapshot
3D Modeling Using Planar Segments and Mesh Elements
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Towards Internet-scale multi-view stereo
inferredcites →https://doi.org/10.1109/iccv.2009.5459145openalex-snapshot
Reconstructing building interiors from images
inferredcites →https://doi.org/10.1109/iccv.2009.5459400openalex-snapshot
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2009 IEEE 12th International Conference on Computer Vision
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Improving segmentation results by studying surface continuity
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3-D scene analysis via sequenced predictions over points and regions
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2009 International Joint Conference on Artificial Intelligence
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Filling holes in complex surfaces using volumetric diffusion
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A Real-Time Expectation-Maximization Algorithm for Acquiring Multiplanar Maps of Indoor Environments With Mobile Robots
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2011 IEEE International Conference on Robotics and Automation (ICRA 2011)
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Assessment of the quality of as-is building information models generated from point clouds using deviation analysis
inferredcites →https://doi.org/10.1137/0717073openalex-snapshot
An Analysis of the Total Least Squares Problem
inferredcites →https://doi.org/10.1137/1.9781611972771openalex-snapshot
Proceedings of the 2007 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1137/1.9781611972771.57openalex-snapshot
Stacked Graphical Models for Efficient Inference in Markov Random Fields
inferredcites →https://doi.org/10.1145/237170.237191openalex-snapshot
Modeling and rendering architecture from photographs
inferredcites →https://doi.org/10.1260/1478-0771.8.1.55openalex-snapshot
Automated 3D Reconstruction of Interiors from Point Clouds
inferredcites →https://doi.org/10.22260/isarc2011/0061openalex-snapshot
Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data
inferredcites →https://doi.org/10.22260/isarc2011/0063openalex-snapshot
Representation Requirements of As-Is Building Information Models Generated from Laser Scanned Point Cloud Data
inferredcites →https://doi.org/10.22260/isarc2011/0099openalex-snapshot
Detection, Modeling and Classification of Moldings for Automated Reverse Engineering of Buildings from 3D Data
inferredcites →https://doi.org/10.5244/c.24.45openalex-snapshot
Using Context to Create Semantic 3D Models of Indoor Environments
inferredcites →https://doi.org/10.5244/c.28openalex-snapshot
Proceedings of the British Machine Vision Conference 2014
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Neural Information Processing Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Revision of Automation Methods for Scan to BIM
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Emerging BIM-3D-Laser Scanning Integration in Construction Practice
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Automatic Deformation Detection and Analysis Visualization of 3D Steel Structures in As-Built Point Clouds
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Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015
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Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoring
inferred← citeshttps://doi.org/10.1016/j.autcon.2017.10.005openalex-snapshot
Review of ICT Implementations for Facilitating Information Flow between Virtual Models and Construction Project Sites
inferred← citeshttps://doi.org/10.1016/j.autcon.2017.10.014openalex-snapshot
Polygonization of point clouds of repetitive components in civil infrastructure based on geometric similarities
inferred← citeshttps://doi.org/10.1016/j.autcon.2017.10.016openalex-snapshot
Door detection in 3D coloured point clouds of indoor environments
inferred← citeshttps://doi.org/10.1016/j.autcon.2017.10.033openalex-snapshot
Performance evaluation of 3D descriptors for object recognition in construction applications
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.01.009openalex-snapshot
SLAM-driven robotic mapping and registration of 3D point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.03.017openalex-snapshot
Deconstruction project planning of existing buildings based on automated acquisition and reconstruction of building information
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.03.018openalex-snapshot
Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.04.006openalex-snapshot
Digitisation in facilities management: A literature review and future research directions
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.06.017openalex-snapshot
Adaptive wavelet neural network for terrestrial laser scanner-based crack detection
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.07.020openalex-snapshot
Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.09.026openalex-snapshot
Dimensional accuracy and structural performance assessment of spatial structure components using 3D laser scanning
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.11.004openalex-snapshot
BIM semantic-enrichment for built heritage representation
inferred← citeshttps://doi.org/10.1016/j.autcon.2018.11.015openalex-snapshot
Using support vector machines to classify building elements for checking the semantic integrity of building information models
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.01.009openalex-snapshot
Development of high-accuracy edge line estimation algorithms using terrestrial laser scanning
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102913openalex-snapshot
Semantic decomposition and recognition of indoor spaces with structural constraints for 3D indoor modelling
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102915openalex-snapshot
A vision and learning-based indoor localization and semantic mapping framework for facility operations and management
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.102963openalex-snapshot
An autonomous robotic platform for automatic extraction of detailed semantic models of buildings
inferred← citeshttps://doi.org/10.1016/j.autcon.2019.103053openalex-snapshot
Geometric quality inspection of prefabricated MEP modules with 3D laser scanning
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103082openalex-snapshot
Automatic layer classification method-based elevation recognition in architectural drawings for reconstruction of 3D BIM models
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103109openalex-snapshot
Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103118openalex-snapshot
Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103131openalex-snapshot
Automated digital modeling of existing buildings: A review of visual object recognition methods
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103159openalex-snapshot
User exemplar-based building element retrieval from raw point clouds using deep point-level features
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103180openalex-snapshot
Processing existing building geometry for reuse as Linked Data
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103231openalex-snapshot
Image-based construction of building energy models using computer vision
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103262openalex-snapshot
HBIM for storing life-cycle data regarding decay and damage in existing timber structures
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103332openalex-snapshot
Removal of occluding construction workers in job site image data using U-Net based context encoders
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103338openalex-snapshot
Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103360openalex-snapshot
Luminance distribution projection method in dynamic floodlight design for architectural features
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103364openalex-snapshot
Extended IFC-based strong form meshfree collocation analysis of a bridge structure
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103434openalex-snapshot
On-demand generation of as-built infrastructure information models for mechanised Tunnelling from TBM data: A computational design approach
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103460openalex-snapshot
Automatic structural mapping and semantic optimization from indoor point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103576openalex-snapshot
Automatic segmentation and classification of BIM elements from point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103582openalex-snapshot
Automated extraction of structural elements in steel girder bridges from laser point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103584openalex-snapshot
Segmentation of point clouds via joint semantic and geometric features for 3D modeling of the built environment
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103615openalex-snapshot
Fully automated generation of parametric BIM for MEP scenes based on terrestrial laser scanning data
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103686openalex-snapshot
Quantitative investigation on the accuracy and precision of Scan-to-BIM under different modelling scenarios
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103838openalex-snapshot
Digital twin and its implementations in the civil engineering sector
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103839openalex-snapshot
Towards synthesized training data for semantic segmentation of mobile laser scanning point clouds: Generating level crossings from real and synthetic point cloud samples
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103855openalex-snapshot
3D as-built modeling from incomplete point clouds using connectivity relations
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103874openalex-snapshot
Automated semantic segmentation of industrial point clouds using ResPointNet++
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.103992openalex-snapshot
Automated semantic segmentation of bridge point cloud based on local descriptor and machine learning
inferred← citeshttps://doi.org/10.1016/j.autcon.2021.104065openalex-snapshot
Crack detection in building walls based on geometric and radiometric point cloud information
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104135openalex-snapshot
An adaptive down-sampling method of laser scan data for scan-to-BIM
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104245openalex-snapshot
Computer vision-based construction progress monitoring
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104250openalex-snapshot
Automatic region-growing system for the segmentation of large point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104251openalex-snapshot
3D environmental urban BIM using LiDAR data for visualisation on Google Earth
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104300openalex-snapshot
Automated classification of piping components from 3D LiDAR point clouds using SE-PseudoGrid
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104308openalex-snapshot
Structural health control of historical steel structures using HBIM
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104422openalex-snapshot
BIM generation from 3D point clouds by combining 3D deep learning and improved morphological approach
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104430openalex-snapshot
Generating LOD3 building models from structure-from-motion and semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104462openalex-snapshot
Volumetric wall detection in unorganized indoor point clouds using continuous segments in 2D grids
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104484openalex-snapshot
Geometric models from laser scanning data for superstructure components of steel girder bridges
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104515openalex-snapshot
Object verification based on deep learning point feature comparison for scan-to-BIM
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104594openalex-snapshot
3D model-based terrestrial laser scanning (TLS) observation network planning for large-scale building facades
inferred← citeshttps://doi.org/10.1016/j.autcon.2022.104697openalex-snapshot
Automating building element detection for deconstruction planning and material reuse: A case study
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105002openalex-snapshot
Modeling of 3D geometry uncertainty in Scan-to-BIM automatic indoor reconstruction
inferred← citeshttps://doi.org/10.1016/j.autcon.2023.105125openalex-snapshot
Object positional uncertainty modelling in 2D viewpoint planning
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105392openalex-snapshot
From dense point clouds to semantic digital models: End-to-end AI-based automation procedure for Manhattan-world structures
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105543openalex-snapshot
Automated geometric reconstruction and cable force inference for cable-net structures using 3D point clouds
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105710openalex-snapshot
CFD with LIDAR applied to buildings and vegetation for environmental construction
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105781openalex-snapshot
Automatic geometric digital twin of box girder bridge using a laser-scanned point cloud
inferred← citeshttps://doi.org/10.1016/j.autcon.2024.105852openalex-snapshot
Mixed Reality-based MEP construction progress monitoring: Evaluation of methods for mesh-to-mesh comparison
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106336openalex-snapshot
2D–3D fusion approach for improved point cloud segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106369openalex-snapshot
Semantic BIM enrichment using a hybrid ML and rule-based framework for automated tenement compliance checking
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106382openalex-snapshot
Bridging implicit neural representations and semantic LoD3 for automated 3D building reconstruction under challenging visual conditions
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106390openalex-snapshot
Enhancing point cloud semantic segmentation of building interiors through diffusion-based scene-level synthesis
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106578openalex-snapshot
Indoor scan-to-BIM workflows: Progress, challenges, and future directions (2014–2024)
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106606openalex-snapshot
Enhancing Scan-to-BIM for reinforced concrete bridges using point cloud completion techniques
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106623openalex-snapshot
AI in Smart Buildings and Construction 4.0: Implementation areas and influencing factors in construction organizations
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106755openalex-snapshot
Automated scan-to-BIM for construction digital transformation: Conceptual framework, processing methods and best-practice guidelines
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.106853openalex-snapshot
Indoor 3D point cloud reconstruction for scan-to-BIM automation
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107003openalex-snapshot
LLM-enabled multi-agent framework for automated Scan-to-BIM and Scan-to-Graph reconstruction
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107158openalex-snapshot
Bridging the BIM-to-scan gap: Physically grounded virtual scanning and hierarchical unsupervised domain adaptation for point cloud semantic segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107161openalex-snapshot
Automatic scan-to-BIM framework for building structures with incomplete point cloud data
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107214openalex-snapshot
Component-level BIM information extraction for steel-structure joints via multi-view recognition and graph-based relational encoding
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107248openalex-snapshot
Exploiting structural repetition for synthetic training data generation in LiDAR point cloud segmentation
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107284openalex-snapshot
Revealing the hidden framework: Reconstructing occluded structural elements from indoor point clouds
inferred← citeshttps://doi.org/10.1016/j.buildenv.2016.08.001openalex-snapshot
Ten questions concerning building information modelling
inferred← citeshttps://doi.org/10.1016/j.buildenv.2017.09.030openalex-snapshot
A hybrid data mining approach on BIM-based building operation and maintenance
inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.112731openalex-snapshot
Exploiting semantic scene reconstruction for estimating building envelope characteristics
inferred← citeshttps://doi.org/10.1016/j.buildenv.2026.114211openalex-snapshot
Automating graph-based geometric digital model generation for building digital twin applications from point cloud and image data
inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100050openalex-snapshot
A point cloud dataset and deep learning framework for semantic segmentation of construction site point clouds
inferred← citeshttps://doi.org/10.1016/j.cacaie.2026.100146openalex-snapshot
DR-GANet: Dynamic residual graph attention network for heterogeneous point cloud segmentation and BIM geometric completion of structural and M&E components
inferred← citeshttps://doi.org/10.1016/j.cag.2014.07.005openalex-snapshot
Automatic room detection and reconstruction in cluttered indoor environments with complex room layouts
inferred← citeshttps://doi.org/10.1016/j.cag.2015.07.008openalex-snapshot
Automatic reconstruction of parametric building models from indoor point clouds
inferred← citeshttps://doi.org/10.1016/j.cirp.2015.04.026openalex-snapshot
Recognition of complex engineering objects from large-scale point clouds
inferred← citeshttps://doi.org/10.1016/j.compenvurbsys.2015.01.005openalex-snapshot
Semi-automated approach to indoor mapping for 3D as-built building information modeling
inferred← citeshttps://doi.org/10.1016/j.compind.2013.09.003openalex-snapshot
Providing real-estate services through the integration of 3D laser scanning and building information modelling
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