FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894555786> ?p ?o ?g. }

• W2894555786 endingPage "3317" @default.
• W2894555786 startingPage "3317" @default.
• W2894555786 abstract "Accurate indoor positioning technology provides location-based service for a variety of applications. However, most existing indoor localization approaches (e.g., Wi-Fi and Bluetooth-based methods) rely heavily on positioning infrastructure, which prevents their large-scale deployment and limits the range at which they are applicable. Here, we proposed an infrastructure-free indoor positioning and tracking approach, termed LiMag, which used ubiquitous magnetic field and ambient lights (e.g., fluorescent, incandescent, and light-emitting diodes (LEDs)) without containing modulated information. We conducted an in-depth study on both the advantages and the challenges in leveraging magnetic field and ambient light intensity for indoor localization. Based on the insights from this study, we established a hybrid observation model that took full advantage of both the magnetic field and ambient light signals. To address the low discernibility of the hybrid observation model, LiMag first generated a single-step fingerprint model by vectorizing consecutive hybrid observations within each step. In order to accurately track users, a lightweight single-step tracking algorithm based on the single-step fingerprints and the particle filter framework was designed. LiMag leveraged the walking information of users and several single-step fingerprints to generate long trajectory fingerprints that exhibited much higher location differentiation ability than the single-step fingerprint. To accelerate particle convergence and eliminate the accumulative error of single-step tracking algorithm, a long trajectory calibration scheme based on long trajectory fingerprints was also introduced. An undirected weighted graph model was constructed to decrease the computational overhead resulting from this long trajectory matching. In addition to typical indoor scenarios including offices, shopping malls and parking lots, we also conducted experiments in more challenging scenarios, including large open-plan areas as well as environments characterized by strong sunlight. Our proposed algorithm achieved a 75th percentile localization accuracy of 1.8 m and 2.2 m, respectively, in the office and shopping mall tested. In conclusion, our LiMag algorithm provided location-based service of infrastructure-free with significantly improved localization accuracy and coverage, as well as satisfactory robustness inside complex indoor environments." @default.
• W2894555786 created "2018-10-12" @default.
• W2894555786 creator A5008135430 @default.
• W2894555786 creator A5010943004 @default.
• W2894555786 creator A5012678483 @default.
• W2894555786 creator A5052635380 @default.
• W2894555786 creator A5072795322 @default.
• W2894555786 date "2018-10-03" @default.
• W2894555786 modified "2023-09-26" @default.
• W2894555786 title "An Infrastructure-Free Indoor Localization Algorithm for Smartphones" @default.
• W2894555786 cites W2397276768 @default.
• W2894555786 cites W2507259838 @default.
• W2894555786 cites W2612961076 @default.
• W2894555786 cites W2744793037 @default.
• W2894555786 cites W2770877176 @default.
• W2894555786 cites W2779232835 @default.
• W2894555786 cites W2793124110 @default.
• W2894555786 cites W2794494292 @default.
• W2894555786 doi "https://doi.org/10.3390/s18103317" @default.
• W2894555786 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6210887" @default.
• W2894555786 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30282938" @default.
• W2894555786 hasPublicationYear "2018" @default.
• W2894555786 type Work @default.
• W2894555786 sameAs 2894555786 @default.
• W2894555786 citedByCount "18" @default.
• W2894555786 countsByYear W28945557862019 @default.
• W2894555786 countsByYear W28945557862020 @default.
• W2894555786 countsByYear W28945557862021 @default.
• W2894555786 countsByYear W28945557862022 @default.
• W2894555786 countsByYear W28945557862023 @default.
• W2894555786 crossrefType "journal-article" @default.
• W2894555786 hasAuthorship W2894555786A5008135430 @default.
• W2894555786 hasAuthorship W2894555786A5010943004 @default.
• W2894555786 hasAuthorship W2894555786A5012678483 @default.
• W2894555786 hasAuthorship W2894555786A5052635380 @default.
• W2894555786 hasAuthorship W2894555786A5072795322 @default.
• W2894555786 hasBestOaLocation W28945557861 @default.
• W2894555786 hasConcept C11413529 @default.
• W2894555786 hasConcept C121332964 @default.
• W2894555786 hasConcept C1276947 @default.
• W2894555786 hasConcept C13662910 @default.
• W2894555786 hasConcept C154945302 @default.
• W2894555786 hasConcept C157286648 @default.
• W2894555786 hasConcept C15744967 @default.
• W2894555786 hasConcept C19417346 @default.
• W2894555786 hasConcept C2775936607 @default.
• W2894555786 hasConcept C2777826928 @default.
• W2894555786 hasConcept C31972630 @default.
• W2894555786 hasConcept C41008148 @default.
• W2894555786 hasConcept C52421305 @default.
• W2894555786 hasConcept C546215728 @default.
• W2894555786 hasConcept C555944384 @default.
• W2894555786 hasConcept C76155785 @default.
• W2894555786 hasConcept C79403827 @default.
• W2894555786 hasConceptScore W2894555786C11413529 @default.
• W2894555786 hasConceptScore W2894555786C121332964 @default.
• W2894555786 hasConceptScore W2894555786C1276947 @default.
• W2894555786 hasConceptScore W2894555786C13662910 @default.
• W2894555786 hasConceptScore W2894555786C154945302 @default.
• W2894555786 hasConceptScore W2894555786C157286648 @default.
• W2894555786 hasConceptScore W2894555786C15744967 @default.
• W2894555786 hasConceptScore W2894555786C19417346 @default.
• W2894555786 hasConceptScore W2894555786C2775936607 @default.
• W2894555786 hasConceptScore W2894555786C2777826928 @default.
• W2894555786 hasConceptScore W2894555786C31972630 @default.
• W2894555786 hasConceptScore W2894555786C41008148 @default.
• W2894555786 hasConceptScore W2894555786C52421305 @default.
• W2894555786 hasConceptScore W2894555786C546215728 @default.
• W2894555786 hasConceptScore W2894555786C555944384 @default.
• W2894555786 hasConceptScore W2894555786C76155785 @default.
• W2894555786 hasConceptScore W2894555786C79403827 @default.
• W2894555786 hasIssue "10" @default.
• W2894555786 hasLocation W28945557861 @default.
• W2894555786 hasLocation W28945557862 @default.
• W2894555786 hasLocation W28945557863 @default.
• W2894555786 hasLocation W28945557864 @default.
• W2894555786 hasLocation W28945557865 @default.
• W2894555786 hasOpenAccess W2894555786 @default.
• W2894555786 hasPrimaryLocation W28945557861 @default.
• W2894555786 hasRelatedWork W1497101000 @default.
• W2894555786 hasRelatedWork W2013820100 @default.
• W2894555786 hasRelatedWork W2054021310 @default.
• W2894555786 hasRelatedWork W2102101492 @default.
• W2894555786 hasRelatedWork W2123824966 @default.
• W2894555786 hasRelatedWork W2127461635 @default.
• W2894555786 hasRelatedWork W2168494495 @default.
• W2894555786 hasRelatedWork W2188506513 @default.
• W2894555786 hasRelatedWork W2214805552 @default.
• W2894555786 hasRelatedWork W2274330372 @default.
• W2894555786 hasVolume "18" @default.
• W2894555786 isParatext "false" @default.
• W2894555786 isRetracted "false" @default.
• W2894555786 magId "2894555786" @default.
• W2894555786 workType "article" @default.