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Usage of 3D Point Cloud Data in BIM (Building Information Modelling): Current Applications and Challenges

TLDR
The needs for intelligent geometric feature detection/reconstruction algorithms for automated point cloud processing and issues related to data management are discussed and an innovative approach for integrating 3D point cloud data with BIM to efficiently augment built environment design, construction and management is presented.
Abstract
BIM (building information modelling) has gained wider acceptance in the A/E/C (architecture/engineering/construction) industry in the US and internationally. This paper presents current industry approaches of implementing 3D point cloud data in BIM and VDC (virtual design and construction) applications during various stages of a project life cycle and the challenges associated with processing the huge amount of 3D point cloud data. Conversion from discrete 3D point cloud raster data to geometric/vector BIM data remains to be a labor-intensive process. The needs for intelligent geometric feature detection/reconstruction algorithms for automated point cloud processing and issues related to data management are discussed. This paper also presents an innovative approach for integrating 3D point cloud data with BIM to efficiently augment built environment design, construction and management.

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Citations
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Journal ArticleDOI

Bridge damage: Detection, IFC-based semantic enrichment and visualization

TL;DR: An approach for point cloud-based detection of spalling damage, as well as integrating damage components into a BIM via semantic enrichment of an as-built Industry Foundation Classes (IFC) model are presented.
Journal ArticleDOI

Open source cloud-based technologies for bim

TL;DR: This research aims to create an open source Cloud-based BIM system that is able to handle geospatial data and only open source tools will be used; from the starting point of creating the 3D model with FreeCAD to its online presentation through BIMserver.
Journal ArticleDOI

Comparative visualization of bim geometry and corresponding point clouds

TL;DR: A set of techniques for the combined and comparative visualization of 3D model geometry extracted from Building Information Models (BIM) and corresponding point clouds are presented, which serve as an effective method for enhancing stakeholder engagement.
Proceedings ArticleDOI

A service-oriented approach for classifying 3D points clouds by example of office furniture classification

TL;DR: This work presents a generic and fast approach to process and analyze given 3D point clouds of typical indoor office spaces to create corresponding up-to-date approximations of classified segments and object-based 3D models that can be used to analyze, record and highlight changes of spatial configurations.
Journal ArticleDOI

Service-oriented semantic enrichment of indoor point clouds using octree-based multiview classification

TL;DR: Using the described approach, captured scans of indoor environments can be semantically enriched using object annotations derived from multiview classification results, and the presented approach is suited for semantic enrichment of lower resolution indoor point clouds acquired using commodity mobile devices.
References
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Journal ArticleDOI

Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques

TL;DR: This article surveys techniques developed in civil engineering and computer science that can be utilized to automate the process of creating as-built BIMs and outlines the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Journal Article

Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST

TL;DR: A survey of state-of-the-art methods for automated as-built BIM creation can be found in this article, where the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
Journal ArticleDOI

Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques

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Journal Article

Application of D4AR – A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication

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