Plane segmentation from point clouds

Honti, Richard; Erdélyi, Ján; Kopáčik, Alojz

doi:10.1556/606.2018.13.2.16

Cited by 17 publications

(13 citation statements)

References 14 publications

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“…It transmits geometric and semantic properties; however, it is not possible to record geographical locations. City GML, however, is currently supported by an increasing number of CAD and GIS programs, enabling the facilities of IFC to be transformed into City GML objects, using the applications created for this purpose [22,23]. This is mainly possible for LoD1 and LoD2 levels, however, given the detail and size of models at higher levels, it is possible to effectively provide the relevant information necessary to create the 3D database of objects in more extensive areas.…”

Section: Methodsmentioning

confidence: 99%

Organization of the Building Space of Developments and Its Impact on Residential Housing Prices

Preweda

Jasińska

2020

Sustainability

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This study has examined the process of urban space development in Krakow (southern Poland) using two developments as an example. The planning documents were analysed and spatial data obtained from the CAPAP (Centre for Spatial Analysis of Public Administration) project were processed. The data source for analysis comprised 2D outlines of certain buildings from the topographic object database (BDOT10k), elevation data from lidar aerial laser scanning at a density of 12 points per square meter and a numerical terrain model (NMT) with a one-meter mesh grid. In addition, existing models of the boundaries of the plots including their numbers and the ownership structure were used. On this basis, a digital mock-up of the analysed site was created. The issue surrounding the purchasing of these sites is interesting, since on the primary market, the apartments are bought long before the start of the first construction works. For this reason, the buyer is not necessarily aware of how the buildings surrounding his/her property will ultimately look, including whether or not they will obscure the sun’s rays. Until now, there has been no need to analyse the density of buildings, as there was no definitive impact of this feature on property prices; discussions were only held in relation to one of the developments built, as to how the sustainable development of the city should look. The positive actions applied during the implementation of the investment were detailed and the negative aspects of the resulting developments were identified. This allowed general analysis of land use development. The work used a model of regressive trees to determine the impact of certain attributes on the property prices.

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Section: Methodsmentioning

confidence: 99%

Organization of the Building Space of Developments and Its Impact on Residential Housing Prices

Preweda

Jasińska

2020

Sustainability

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“…This seed point is used as a starting point for the plane segmentation. The point cloud segmentation is carried out with a modified version of the algorithm proposed in (Honti, et al, 2018). The modification consists in adding a normal vector-based filter (described in more detail in section 4.2).…”

Section: Plane Segmentation Using the Modified Ransac Algorithmmentioning

confidence: 99%

“…The algorithm in (Honti, et al, 2018) is a combination of the elements of the modified RANSAC algorithm and the region-based segmentation method. RANdom SAmple Consensus (RANSAC) is an iterative method for estimating a mathematical model from a data set, which can contain outliers.…”

Section: Plane Segmentation Using the Modified Ransac Algorithmmentioning

confidence: 99%

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Automated Verification of Building Components Using BIM Models and Point Clouds

Honti

Erdélyi

Bariczová

et al. 2020

Slovak Journal of Civil Engineering

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One of the most important parts of construction work is the verification of the geometry of the parts of structures and buildings constructed. Today this procedure is often semi- or fully automated. The paper introduces an approach for the automated verification of parts of buildings, by comparing the design of a building (as-planned model), derived from a Building Information Model (BIM) in an Industry Foundation Classes (IFC) exchange format to a terrestrial laser scanning (TLS) point cloud (as-built model). The approach proposed has three main steps. The process begins with the acquisition of information from the as-planned model in the IFC exchange format; the second step is the automated (wall) plane segmentation from the point cloud. In the last step, the two models mentioned are compared to determine the deviations from the design, and the as-built wall flatness quantification is also executed. The potential of the proposed algorithm is shown in a case-study.

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“…Like in the case of traditional tools, many disadvantages are to be mentioned in this category as well. Operating these devices requires high expertise, costly machines, mobile and computer software skills [6], high processing time [7], and in most of the cases above average IT hardware capacity.…”

Section: Introductionmentioning

confidence: 99%

Tools and methodologies of 3D model-based building survey

2020

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Information-based modeling technology is supported by advanced information technology solutions in the building industry. The integration of its methodology into construction and design processes is already going on. However, many areas still have development possibilities; for instance, building surveys belong to these fields. Countless survey tools and methodologies endeavor to support and ease the work of professionals in design and construction, yet there is a need for comprehensive collaboration. This could be promoted by creating a direct link between survey tools and architectural design software. This article demonstrates a tool under development that intends to provide a solution to this issue.

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Plane segmentation from point clouds

Cited by 17 publications

References 14 publications

Organization of the Building Space of Developments and Its Impact on Residential Housing Prices

Organization of the Building Space of Developments and Its Impact on Residential Housing Prices

Automated Verification of Building Components Using BIM Models and Point Clouds

Tools and methodologies of 3D model-based building survey

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