Urban and Regional Data Management

Rumor, Massimo

doi:10.1201/b11647

Cited by 15 publications

(2 citation statements)

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“…Consequently, such a network can be used for basic navigation applications without an option for visualization of the path. Boguslawski et al [33] and Liu and Zlatanova [34] use this type of network as the basis for derivation of more complex navigable networks. It should be noted that the triangulation changes the structure of the bounding surfaces, but this is not an issue for the presented application for geometry-based navigation network extraction.…”

Section: Methodsmentioning

confidence: 99%

“…Consequently, such a network can be used for basic navigation applications without an option for visualization of the path. Boguslawski et al [33] and Liu and Zlatanova [34] use this type of network as the basis for derivation of more complex navigable networks. The second method provides enrichment of the original NRS to node-relation structure and entrance (NRSE) [32].…”

Section: Methodsmentioning

confidence: 99%

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3D Geometry-Based Indoor Network Extraction for Navigation Applications Using SFCGAL

Tekavec

Lisec

2020

IJGI

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This study is focused on indoor navigation network extraction for navigation applications based on available 3D building data and using SFCGAL library, e.g. simple features computational geometry algorithms library. In this study, special attention is given to 3D cadastre and BIM (building information modelling) datasets, which have been used as data sources for 3D geometric indoor modelling. SFCGAL 3D functions are used for the extraction of an indoor network, which has been modelled in the form of indoor connectivity graphs based on 3D geometries of indoor features. The extraction is performed by the integration of extract transform load (ETL) software and the spatial database to support multiple data sources and provide access to SFCGAL functions. With this integrated approach, the current lack of straightforward software support for complex 3D spatial analyses is addressed. Based on the developed methodology, we perform and discuss the extraction of an indoor navigation network from 3D cadastral and BIM data. The efficiency and performance of the network analyses were evaluated using the processing and query execution times. The results show that the proposed methodology for geometry-based navigation network extraction of buildings is efficient and can be used with various types of 3D geometric indoor data.

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Section: Methodsmentioning

confidence: 99%

“…Consequently, such a network can be used for basic navigation applications without an option for visualization of the path. Boguslawski et al [33] and Liu and Zlatanova [34] use this type of network as the basis for derivation of more complex navigable networks. The second method provides enrichment of the original NRS to node-relation structure and entrance (NRSE) [32].…”

Section: Methodsmentioning

confidence: 99%

3D Geometry-Based Indoor Network Extraction for Navigation Applications Using SFCGAL

Tekavec

Lisec

2020

IJGI

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Development of Navigation Systems in Educational Buildings of Higher Educational Institutions

Obukhov

Dedov²,

Sveshnikov³

et al. 2022

Software Engineering Perspectives in Systems

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Emergency Response: Navigable Networks and Optimal Routing in Hazardous Indoor Environments

Zverovich¹

2021

Modern Applications of Graph Theory

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The extreme importance of emergency response in complex buildings during natural and human-induced disasters has been widely acknowledged. This chapter studies algorithms for safest routes and balanced routes in buildings where an extreme event with many epicentres is occurring. In a balanced route, a trade-off between route length and hazard proximity is made. Another algorithm is proposed for finding the optimal indoor routes for search and rescue teams. This is based on a novel approach integrating the Analytic Hierarchy Process (AHP), the propagation of hazard and other techniques, and where three criteria are used: hazard proximity, distance/travel time, and route complexity. The important feature of the algorithm is its ability to generate an optimal route depending on the user’s needs. Finally, a novel automated construction of the Variable Density Network (VDN) for determining egress paths in dangerous environments is discussed.

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Urban and Regional Data Management

Cited by 15 publications

References 0 publications

3D Geometry-Based Indoor Network Extraction for Navigation Applications Using SFCGAL

3D Geometry-Based Indoor Network Extraction for Navigation Applications Using SFCGAL

Development of Navigation Systems in Educational Buildings of Higher Educational Institutions

Emergency Response: Navigable Networks and Optimal Routing in Hazardous Indoor Environments

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