Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101432
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorResearch Institute for Artificial Intelligence of Things-
dc.creatorMansour, Aen_US
dc.creatorChen, Wen_US
dc.date.accessioned2023-09-18T02:25:46Z-
dc.date.available2023-09-18T02:25:46Z-
dc.identifier.urihttp://hdl.handle.net/10397/101432-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Mansour, A., & Chen, W. (2022). SUNS: A User-Friendly Scheme for Seamless and Ubiquitous Navigation Based on an Enhanced Indoor-Outdoor Environmental Awareness Approach. Remote Sensing, 14(20), 5263 is available at https://doi.org/10.3390/rs14205263.en_US
dc.subjectCrowdsourcingen_US
dc.subjectIndoor positioningen_US
dc.subjectIndoor-outdoor environmental awarenessen_US
dc.subjectLocation-based services (LBS)en_US
dc.subjectMulti-sensor fusionen_US
dc.subjectSeamless navigationen_US
dc.subjectUbiquitous localizationen_US
dc.subjectWiFi positioningen_US
dc.titleSUNS : a user-friendly scheme for seamless and ubiquitous navigation based on an enhanced indoor-outdoor environmental awareness approachen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume14en_US
dc.identifier.issue20en_US
dc.identifier.doi10.3390/rs14205263en_US
dcterms.abstractUbiquitous and seamless indoor-outdoor (I/O) localization is the primary objective for gaining more user satisfaction and sustaining the prosperity of the location-based services (LBS) market. Regular users, on the other hand, may be unaware of the impact of activating multiple localization sources on localization performance and energy consumption, or may lack experience deciding when to enable or disable localization sources in different environments. Consequently, an automatic handover mechanism that can handle these decisions on a user’s behalf can appreciably improve user satisfaction. This study introduces an enhanced I/O environmental awareness service that provides an automated handover mechanism for seamless navigation based on multi-sensory navigation integration schemes. Moreover, the proposed service utilizes low-power consumption sensor (LPCS) indicators to execute continuous detection tasks and invoke GNSS in confusion scenarios, and transition intervals to make the most firm decision on the credibility of the LPCS-triggered transition and compensate for indicator thresholds. In this manner, GNSS are used for short intervals that help reduce detection latency and power consumption. Consequently, the proposed service guarantees accurate and reliable I/O detection while preserving low power consumption. Leveraging the proposed service as an automated handover helped realize seamless indoor-outdoor localization with less switching latency, using an integrated solution based on extended Kalman filter. Furthermore, the proposed energy-efficient service was utilized to confine crowdsourced data collection to the required areas (indoors and semi-indoors) and prevent excess data collection outdoors, thereby reducing power drainage. Accordingly, the negative impact of data collection on the user’s device can be mitigated, participation can be encouraged, and crowdsourcing systems can be widely adopted.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Oct. 2022, v. 14, no. 20, 5263en_US
dcterms.isPartOfRemote sensingen_US
dcterms.issued2022-10-
dc.identifier.scopus2-s2.0-85140958172-
dc.identifier.ros2022002295-
dc.identifier.eissn2072-4292en_US
dc.identifier.artn5263en_US
dc.description.validate202309 bckw-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCDCF_2022-2023-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextUniversity Grants Committee of Hong Kong; Smart Cities Research Institute, Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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