A 3D X-tree optimized for Complex Indoor Building Models

Studying complex indoor buildings is crucial for population evacuation research in our modern world, where indoor spaces are the primary living environment. However, the existing spatial indexes do not fully align with the unique characteristics of indoor space, leading to a significant bottleneck i...

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Main Authors: L. Niu, Z. Wang
Format: Article
Language:English
Published: Copernicus Publications 2024-10-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/353/2024/isprs-archives-XLVIII-4-2024-353-2024.pdf
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author L. Niu
L. Niu
Z. Wang
author_facet L. Niu
L. Niu
Z. Wang
author_sort L. Niu
collection DOAJ
description Studying complex indoor buildings is crucial for population evacuation research in our modern world, where indoor spaces are the primary living environment. However, the existing spatial indexes do not fully align with the unique characteristics of indoor space, leading to a significant bottleneck in the efficiency of searching many space areas. This article introduces a novel model that can efficiently retrieve and update compact three-dimensional indoor space by introducing space X-trees. Our experiments, which have shown that the introduction of X-trees, which can dynamically adjust the size of space nodes, has significantly improved the retrieval speed during the query operation process, underscore the reliability and potential of our new model.
format Article
id doaj-art-52181ff9a5f84edbbef4b9e5741bb10e
institution OA Journals
issn 1682-1750
2194-9034
language English
publishDate 2024-10-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj-art-52181ff9a5f84edbbef4b9e5741bb10e2025-08-20T02:08:46ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-10-01XLVIII-4-202435335710.5194/isprs-archives-XLVIII-4-2024-353-2024A 3D X-tree optimized for Complex Indoor Building ModelsL. Niu0L. Niu1Z. Wang2Faculty of Geometics, Lanzhou Jiaotong University, NO. 88 Anningxi Road, Lanzhou, ChinaGeospatial Research Innovation Development, School of Built and Environment, Faculty of Art and Design, University of New South Wales, AustraliaDepartment of Transportation at the South China University of Technology, Wushan RD NO. 381, Guangzhou, Guangdong, ChinaStudying complex indoor buildings is crucial for population evacuation research in our modern world, where indoor spaces are the primary living environment. However, the existing spatial indexes do not fully align with the unique characteristics of indoor space, leading to a significant bottleneck in the efficiency of searching many space areas. This article introduces a novel model that can efficiently retrieve and update compact three-dimensional indoor space by introducing space X-trees. Our experiments, which have shown that the introduction of X-trees, which can dynamically adjust the size of space nodes, has significantly improved the retrieval speed during the query operation process, underscore the reliability and potential of our new model.https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/353/2024/isprs-archives-XLVIII-4-2024-353-2024.pdf
spellingShingle L. Niu
L. Niu
Z. Wang
A 3D X-tree optimized for Complex Indoor Building Models
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title A 3D X-tree optimized for Complex Indoor Building Models
title_full A 3D X-tree optimized for Complex Indoor Building Models
title_fullStr A 3D X-tree optimized for Complex Indoor Building Models
title_full_unstemmed A 3D X-tree optimized for Complex Indoor Building Models
title_short A 3D X-tree optimized for Complex Indoor Building Models
title_sort 3d x tree optimized for complex indoor building models
url https://isprs-archives.copernicus.org/articles/XLVIII-4-2024/353/2024/isprs-archives-XLVIII-4-2024-353-2024.pdf
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