<div class="csl-bib-body">
<div class="csl-entry">Park, S., & Yu, K. (2019). Automatic Floor Matching for 3D Indoor Spatial Modeling. In <i>LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng</i>. Wien. https://doi.org/10.34726/lbs2019.38</div>
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dc.identifier.uri
https://doi.org/10.34726/lbs2019.38
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/672
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dc.description.abstract
With the advent of a variety of indoor location-based services, the necessity of 3D indoor model construction has become a significant issue worth noting and following. The aim of this study is to propose an algorithm of floor matching to construct a multi-floor building model. In this case, the characteristics of shape and position of lift features are used to search matched pairs in the algorithm. In addition, the vertical connectivity information also can be generated through the process. The proposed algorithm was applied to the Seoul National University Library to verify its suitability. In the case of a high-rise building, it is expected that a multi-floor building model can be constructed efficiently by automatically aligning the data generated per each floor through the method developed in this study.
en
dc.language
English
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dc.language.iso
en
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dc.publisher
Wien
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Floor Matching
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dc.subject
Floor Alignment
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dc.subject
Vertical Connectivity
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dc.subject
3D Indoor Spatial Model
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dc.title
Automatic Floor Matching for 3D Indoor Spatial Modeling
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.relation.publication
LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng
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dc.identifier.doi
10.34726/lbs2019.38
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dc.rights.holder
The Author(s)
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dc.type.category
Full-Paper Contribution
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tuw.version
vor
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tuw.publication.orgunit
E120 - Department für Geodäsie und Geoinformation
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dc.identifier.libraryid
AC15512998
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-7109
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
item.languageiso639-1
en
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item.fulltext
with Fulltext
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item.openaccessfulltext
Open Access
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item.openairetype
conference paper
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item.grantfulltext
open
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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crisitem.author.dept
Seoul National University, Korea (the Republic of)