Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data

Anil, Engin Burak; Tang, Pingbo; Akinci, Burcu; Huber, Daniel

doi:10.1016/j.autcon.2013.06.003

Cited by 154 publications

(73 citation statements)

References 6 publications

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“…A starting point in literature was provided by (Anil et al, 2011, Anil et al, 2013. The focus in these successive papers is mainly on the detection and classification of modeling errors or errors that appeared during the data collection or post-processing phase.…”

Section: Academic Papersmentioning

confidence: 99%

Scan-to-Bim Output Validation: Towards a Standardized Geometric Quality Assessment of Building Information Models Based on Point Clouds

Bonduel

Bassier

Vergauwen

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The use of Building Information Modeling (BIM) for existing buildings based on point clouds is increasing. Standardized geometric quality assessment of the BIMs is needed to make them more reliable and thus reusable for future users. First, available literature on the subject is studied. Next, an initial proposal for a standardized geometric quality assessment is presented. Finally, this method is tested and evaluated with a case study. The number of specifications on BIM relating to existing buildings is limited. The Levels of Accuracy (LOA) specification of the USIBD provides definitions and suggestions regarding geometric model accuracy, but lacks a standardized assessment method. A deviation analysis is found to be dependent on (1) the used mathematical model, (2) the density of the point clouds and (3) the order of comparison. Results of the analysis can be graphical and numerical. An analysis on macro (building) and micro (BIM object) scale is necessary. On macro scale, the complete model is compared to the original point cloud and vice versa to get an overview of the general model quality. The graphical results show occluded zones and non-modeled objects respectively. Colored point clouds are derived from this analysis and integrated in the BIM. On micro scale, the relevant surface parts are extracted per BIM object and compared to the complete point cloud. Occluded zones are extracted based on a maximum deviation. What remains is classified according to the LOA specification. The numerical results are integrated in the BIM with the use of object parameters.

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Section: Academic Papersmentioning

confidence: 99%

Scan-to-Bim Output Validation: Towards a Standardized Geometric Quality Assessment of Building Information Models Based on Point Clouds

Bonduel

Bassier

Vergauwen

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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show abstract

“…The parametric design of the building elements from the point cloud is a time-consuming and error-prone manual process, because there are currently no automation or software processes that can ensure a direct change from point cloud to full BIM models [80,81]. Therefore, once the 3D virtual models have been created, the libraries of the parametric elements should be generated under the concept of H-BIM.…”

Section: Bim To Heritage Buildingsmentioning

confidence: 99%

A Review of Heritage Building Information Modeling (H-BIM)

López

Lerones

Llamas

et al. 2018

MTI

276

154

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Many projects concerning the protection, conservation, restoration, and dissemination of cultural heritage are being carried out around the world due to its growing interest as a driving force of socio-economic development. The existence of reliable, digital three-dimensional (3D) models that allow for the planning and management of these projects in a remote and decentralized way is currently a growing necessity. There are many software tools to perform the modeling and complete three-dimensional documentation of the intervened monuments. However, the Architecture, Engineering and Construction (AEC) sector has adopted the Building Information Modeling (BIM) standard over the last few decades due to the progress that has been made in its qualities and capabilities. The complex modeling of cultural heritage through commercial BIM software leads to the consideration of the concept of Heritage BIM (H-BIM), which pursues the modeling of architectural elements, according to artistic, historical, and constructive typologies. In addition, H-BIM is considered to be an emerging technology that enables us to understand, document, advertize, and virtually reconstruct the built heritage. This article is a review of the existing literature on H-BIM and its effective implementation in the cultural heritage sector, exploring the effectiveness and the usefulness of the different methodologies that were developed to model families of elements of interest.

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“…Whether an as-built BIM is created manually or using automatic techniques it is very important that quality assurance (QA) is carried out to ensure the accuracy of the final model. (Anil et al, 2011, Anil et al, 2013 propose a new approach for QA of as-built BIM that analyses patterns of the geometric deviation between the model and the point cloud data. This research demonstrates that it is possible to identify the source, magnitude, and nature of errors by analysing the deviation patterns.…”

Section: Quality Control For As-built Bimmentioning

confidence: 99%

Current State of the Art Historic Building Information Modelling

Dore¹,

Murphy²

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

114

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ABSTRACT:In an extensive review of existing literature a number of observations were made in relation to the current approaches for recording and modelling existing buildings and environments: Data collection and pre-processing techniques are becoming increasingly automated to allow for near real-time data capture and fast processing of this data for later modelling applications. Current BIM software is almost completely focused on new buildings and has very limited tools and pre-defined libraries for modelling existing and historic buildings. The development of reusable parametric library objects for existing and historic buildings supports modelling with high levels of detail while decreasing the modelling time. Mapping these parametric objects to survey data, however, is still a time-consuming task that requires further research. Promising developments have been made towards automatic object recognition and feature extraction from point clouds for as-built BIM. However, results are currently limited to simple and planar features. Further work is required for automatic accurate and reliable reconstruction of complex geometries from point cloud data. Procedural modelling can provide an automated solution for generating 3D geometries but lacks the detail and accuracy required for most asbuilt applications in AEC and heritage fields.

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Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data

Cited by 154 publications

References 6 publications

Scan-to-Bim Output Validation: Towards a Standardized Geometric Quality Assessment of Building Information Models Based on Point Clouds

Scan-to-Bim Output Validation: Towards a Standardized Geometric Quality Assessment of Building Information Models Based on Point Clouds

A Review of Heritage Building Information Modeling (H-BIM)

Current State of the Art Historic Building Information Modelling

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