A BIM and AR-based indoor navigation system for pedestrians on smartphones

Simple item page
dc.citation.issue1
dc.citation.volume29
dc.contributor.authorZhang W
dc.contributor.authorLi Y
dc.contributor.authorLi P
dc.contributor.authorFeng Z
dc.date.accessioned2025-03-12T02:06:47Z
dc.date.available2025-03-12T02:06:47Z
dc.date.issued2025-01
dc.description.abstractIndoor navigation technology, as an emerging location information service, has shown continuous growth in its application demand in recent years. In indoor navigation, indoor localization and path planning are the key factors affecting navigation quality. Most of the existing methods rely on traditional methods for indoor localization with high implementation costs. As for path planning, most methods lack the acquisition and use of semantic information, affecting navigation's practicality and intuitiveness. To alleviate the above problems, we propose a building information modeling (BIM) and augmented reality (AR)-based indoor navigation system for pedestrians that can be implemented on smartphones. Specifically, we first map a three-dimensional model space subdivided by a triangular prism to the two-dimensional plane in order to construct an indoor navigation network. Secondly, the information is analyzed using inertial navigation system technology to identify indoor positions. Then, we propose an indoor augmented reality navigation algorithm based on architectural and spatial information (IARA) algorithm for indoor path planning. Finally, we integrated the above technologies and built an indoor pedestrian navigation system based on BIM and AR technologies. Experiments in specific scenarios show that our system ensures navigation stability while obtaining results that are more relevant to the needs of pedestrians.
dc.description.confidentialfalse
dc.edition.editionJanuary 2025
dc.identifier.citationZhang W, Li Y, Li P, Feng Z. (2025). A BIM and AR-based indoor navigation system for pedestrians on smartphones. KSCE Journal of Civil Engineering. 29. 1.
dc.identifier.doi10.1016/j.kscej.2024.100005
dc.identifier.eissn1976-3808
dc.identifier.elements-typejournal-article
dc.identifier.issn1226-7988
dc.identifier.number100005
dc.identifier.piiS1226798824051511
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72612
dc.languageEnglish
dc.publisherElsevier Inc. on behalf of the Korean Society of Civil Engineers
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S1226798824051511
dc.relation.isPartOfKSCE Journal of Civil Engineering
dc.rights(c) 2024 The Author/s
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIndoor navigation
dc.subjectBIM
dc.subjectAR
dc.subjectNetwork construction
dc.subjectNavigation algorithm
dc.titleA BIM and AR-based indoor navigation system for pedestrians on smartphones
dc.typeJournal article
pubs.elements-id499931
pubs.organisational-groupOther
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
499931 PDF.pdf
Size:
2.37 MB
Format:
Adobe Portable Document Format
Description:
Evidence
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:
Download
Collections
Journal Articles