Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications
Spaces are continuous realms where human beings freely navigate, such as from indoor to outdoor and optionally to another indoor space. However, currently available data models to represent space for navigation do not entirely reflect this continuity of freedom and movement. Data conversion or compl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/10/8/565 |
| _version_ | 1797523647040061440 |
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| author | Alexis Richard C. Claridades Jiyeong Lee |
| author_facet | Alexis Richard C. Claridades Jiyeong Lee |
| author_sort | Alexis Richard C. Claridades |
| collection | DOAJ |
| description | Spaces are continuous realms where human beings freely navigate, such as from indoor to outdoor and optionally to another indoor space. However, currently available data models to represent space for navigation do not entirely reflect this continuity of freedom and movement. Data conversion or complications in implementation hinder current approaches to link indoor space with outdoor space due to the variety of present data models. Furthermore, this representation of indoor–outdoor connection becomes oversimplified during the integration process. Consequently, location-based applications based on these datasets are limited in conveying mobility within these spaces and aiding navigation activity. This paper defines a framework for integrating indoor and outdoor navigable space to enable seamless navigation. This model enables the connection between indoor and outdoor navigation networks. We describe the connections between these networks through spatial relationships, which can be generalized to represent various cases of indoor–outdoor transitional spaces. Using sample datasets, we demonstrate the framework’s potential to provide a seamless connection between indoor and outdoor space in a route analysis experiment. |
| first_indexed | 2024-03-10T08:46:01Z |
| format | Article |
| id | doaj.art-93349e6f3da64b9c84979b94ce87ebf6 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T08:46:01Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-93349e6f3da64b9c84979b94ce87ebf62023-11-22T07:53:47ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-08-0110856510.3390/ijgi10080565Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation ApplicationsAlexis Richard C. Claridades0Jiyeong Lee1Department of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, KoreaDepartment of Geoinformatics, University of Seoul, 163 Seoulsiripdae-ro, Dongdaemun-gu, Seoul 02504, KoreaSpaces are continuous realms where human beings freely navigate, such as from indoor to outdoor and optionally to another indoor space. However, currently available data models to represent space for navigation do not entirely reflect this continuity of freedom and movement. Data conversion or complications in implementation hinder current approaches to link indoor space with outdoor space due to the variety of present data models. Furthermore, this representation of indoor–outdoor connection becomes oversimplified during the integration process. Consequently, location-based applications based on these datasets are limited in conveying mobility within these spaces and aiding navigation activity. This paper defines a framework for integrating indoor and outdoor navigable space to enable seamless navigation. This model enables the connection between indoor and outdoor navigation networks. We describe the connections between these networks through spatial relationships, which can be generalized to represent various cases of indoor–outdoor transitional spaces. Using sample datasets, we demonstrate the framework’s potential to provide a seamless connection between indoor and outdoor space in a route analysis experiment.https://www.mdpi.com/2220-9964/10/8/565anchor nodeOGC IndoorGMLseamless navigationindoor and outdoor integration |
| spellingShingle | Alexis Richard C. Claridades Jiyeong Lee Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications ISPRS International Journal of Geo-Information anchor node OGC IndoorGML seamless navigation indoor and outdoor integration |
| title | Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications |
| title_full | Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications |
| title_fullStr | Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications |
| title_full_unstemmed | Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications |
| title_short | Defining a Model for Integrating Indoor and Outdoor Network Data to Support Seamless Navigation Applications |
| title_sort | defining a model for integrating indoor and outdoor network data to support seamless navigation applications |
| topic | anchor node OGC IndoorGML seamless navigation indoor and outdoor integration |
| url | https://www.mdpi.com/2220-9964/10/8/565 |
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