Automatic Topology Derivation From Ifc Building Model for in-Door Intelligent Navigation

Tang, Shengjun; Zhu, Quanmin; Wang, W. W.; Zhang, Y. T.

doi:10.5194/isprsarchives-xl-4-w5-7-2015

Cited by 14 publications

(13 citation statements)

References 13 publications

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“…Different solutions have been offered in the relevant literature, based on well-described methodologies. Some of them rely on simple topological relations (Figure 1a), based on the neighborhood (Tang et al 2015;Lewandowicz 2015). Lee (2004) proposed a modified topological model from a Graph Nod Relations Structure (NRS) to a navigation network model (Figure 1b).…”

Section: Introductionmentioning

confidence: 99%

Methodology to Generate Navigation Models in Building

Lewandowicz

Lisowski

2018

Journal of Civil Engineering and Management

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Indoor route networks models are created for use in navigation. They may be built manually, but it is better to generate them automatically, based on the building floor plans. Research has been conducted in this field in many research centers. The authors undertook to develop their own methodology for generating navigation networks, using topological neighborhood relations and semantic data. The research project focuses on one floor in a building, which consists of rooms and an expanded corridor with an obstacle in the form of an open space between the floors. The first stage of the project consisted in the segmentation of the corridor space to improve its resolution. The objective of the conducted research was to select special points (five suggestions) for the segmentation. As a result, five different segmentations of the corridor space were obtained. The aim of the second stage was to automatically generate five navigation network models. The graphically presented results have been verified against the routes generated between the selected points in the building plan. A comparison of the results with other solutions shows that the routes generated in the presented methodology are more straight-line and less zigzagging.

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Section: Introductionmentioning

confidence: 99%

Methodology to Generate Navigation Models in Building

Lewandowicz

Lisowski

2018

Journal of Civil Engineering and Management

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“…In fact, as BIMs contain much detailed semantic and geometric information, information simplification is also required in this transformation. (Tang et al, 2015) …”

Section: Model Integrationmentioning

confidence: 99%

Untitled

Gunduz¹,

Işıkdağ²,

Başaraner³

2016

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

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ABSTRACT:Indoor modeling and mapping has been an active area of research in last 20 years in order to tackle the problems related to positioning and tracking of people and objects indoors, and provides many opportunities for several domains ranging from emergency response to logistics in micro urban spaces. The outputs of recent research in the field have been presented in several scientific publications and events primarily related to spatial information science and technology. This paper summarizes the outputs of last 10 years of research on indoor modeling and mapping within a proper classification which covers 7 areas, i.e. Information Acquisition by Sensors, Model Definition, Model Integration, Indoor Positioning and LBS, Routing & Navigation Methods, Augmented and Virtual Reality Applications, and Ethical Issues. Finally, the paper outlines the current and future research directions and concluding remarks.

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“…BIM has more detailed information on buildings than CityGML. Therefore, research on converting BIM data into CityGML has been mainly conducted [9]. Data conversion from IFC to CityGML requires the transformation of attribute and geometric data.…”

Section: Previous Studiesmentioning

confidence: 99%

“…A data fusion method through a geometric data transformation is being actively studied for exchanging BIM data with the CityGML datasets [8,9]. CityGML is an international standard data model adopted by OGC to represent urban spaces in 3D GIS, called a 3D city model.…”

Section: Previous Studiesmentioning

confidence: 99%

Development of Data Fusion Method Based on Topological Relationships Using IndoorGML Core Module

2018

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Geospatial datasets are currently constructed, managed, and utilized individually according to the spatial scale of the real world, such as the ground/surface/underground or indoor/outdoor, as well the particular purpose of the geospatial data used for location-based services. In addition, LBS applications use an optimal data model and data format according to their particular purpose, and thus, various datasets exist to represent the same spatial features. Such duplicated geospatial datasets and geographical feature-based GIS data cause serious problems in the financial area, compatibility issues among LBS systems, and data integration problems among the various geospatial datasets generated independently for different systems. We propose a geospatial data fusion model called the topological relation-based data fusion model (TRDFM) using topological relations among spatial objects in order to integrate different geospatial datasets and different data formats. The proposed model is a geospatial data fusion model implemented in a spatial information application and is used to directly provide spatial information-based services without data conversion or exchange of geometric data generated by different data models. The proposed method was developed based on an extension of the AnchorNode concept of IndoorGML. The topological relationships among spatial objects are defined and described based upon the basic concept of IndoorGML. This paper describes the concept of the proposed TRDFM and shows an experimental implementation of the proposed data fusion model using commercial 3D GIS software. Finally, the limitations of this study and areas of future research are summarized.

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Automatic Topology Derivation From Ifc Building Model for in-Door Intelligent Navigation

Cited by 14 publications

References 13 publications

Methodology to Generate Navigation Models in Building

Methodology to Generate Navigation Models in Building

Untitled

Development of Data Fusion Method Based on Topological Relationships Using IndoorGML Core Module

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