Peer-reviewed articles 17,970 +


Title: DEVELOPMENT OF INDOOR POSITIONING SYSTEM, BASED ON LEAFLET MAP, GEOLOCATION AND WI-FI POSITION ESTIMATION WITH ACCURACY ASSESSMENT
DEVELOPMENT OF INDOOR POSITIONING SYSTEM, BASED ON LEAFLET MAP, GEOLOCATION AND WI-FI POSITION ESTIMATION WITH ACCURACY ASSESSMENT

PlumX Article Metrics by Elsevier
Tamara Ilieva
10.5593/sgem2023/2.1/s08.21
10.5593/sgem2023/2.1
1314-2704
978-619-7603-57-6
English
23
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Geoinformatics
Indoor positioning systems have a wide variety of applications. They can be used to see and track user location, for real-time navigation and others. They are usually developed for a specific building or set of buildings and may use different positioning techniques to meet the user needs in terms of accuracy and budget constraints.
For the current study free and open source data is used for development of the base map – OpenStreetMap and Leaflet library. The data for specific building is added, as the floor plans are transformed to GeoJSON format. As positioning techniques, in this case, geolocation and Wi-Fi position estimation are used and there are three main steps for calculating user coordinates:
• The user gets the available Wi-Fi signals strength and based on defined fixed limits the algorithm choose which of the preliminary coordinated and fingerprinted control points in the building is the closest;
• Geolocation data for the user (latitude and longitude) is streamed and trough communication channel is imported in the developed system;
• The user location is translated to the nearest control point and corrections are calculated as coordinate differences, similar to differential outdoor GNSS measurements with initialization on known points, but with modification only for the rover absolute position, so the indoor position of the user is corrected and shown on the map.
The data was collected repeatedly static for 6 points in the building (3 on the first floor and 3 on the second), the corrections are calculated after 3 seconds of observations and applied to the coordinates for 1 minute intervals. All corrected coordinates are compared to the control ones, obtained by geodetic measurements in order to be analyzed the corrections validity. Also, tracks were made, so it could be seen what is the difference between the real moving trajectory, the corrected and the measured ones.
The results of the analysis show that the data collected by this indoor positioning system is not very precise, compared to other systems, based on other positioning techniques – the difference compared to absolute position is approximately 1.8 m. Even though, this position estimation is much better than standard accuracy achieved by separate use of geolocation or Wi-Fi positioning with only 2 Wi-Fi sources, without preliminary defined signal strength fingerprint map.
[1] Y. Gu, A. Lo and I. Niemegeers, A survey of indoor positioning systems for wireless personal networks, in IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 13-32, First Quarter 2009, doi: 10.1109/SURV.2009.090103. https://www.researchgate.net/publication/224392598_A_Survey_of_Indoor_Positioning _Systems_for_Wireless_Personal_Networks, accessed 06/26/2023
[2] M. A. Al-Ammar et al., Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms, 2014 International Conference on Cyberworlds, Santander, Spain, 2014, pp. 245-252, doi: 10.1109/CW.2014.41. https://www.researchgate.net/publication/288484594_Comparative_Survey_of_Indoor_ Positioning_Technologies_Techniques_and_Algorithms, accessed 06/26/2023
[3] F. Zafari, A. Gkelias and K. K. Leung, "A Survey of Indoor Localization Systems and Technologies," in IEEE Communications Surveys & Tutorials, vol. 21, no. 3, pp. 2568-2599, thirdquarter 2019, doi: 10.1109/COMST.2019.2911558. https://www.researchgate.net/publication/319478162_A_Survey_of_Indoor_Localizatio n_Systems_and_Technologies, accessed 06/26/2023
[4] N. Syazwani C. J, Nur Haliza Abdul Wahab, Noorhazirah Sunar, Sharifah H. S. Ariffin, Keng Yinn Wong and Yichiet Aun, Indoor Positioning System: A Review International Journal of Advanced Computer Science and Applications(IJACSA), 13(6), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130659 https://www.researchgate.net/publication/361748336_Indoor_Positioning_System_A_R eview, accessed 06/26/2023
[5] Kj?rgaard, M.B., Blunck, H., Godsk, T., Toftkj?r, T., Christensen, D.L., Gronb?k, K. (2010). Indoor Positioning Using GPS Revisited. In: Floreen, P., Kruger, A., Spasojevic, M. (eds) Pervasive Computing. Pervasive 2010. Lecture Notes in Computer Science, vol 6030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642- 12654-3_3 https://www.researchgate.net/publication/221016004_Indoor_Positioning_Using_GPS_ Revisited, accessed 06/26/2023
[6] H. Motte, J. Wyffels, L. De Strycker, J.-P. Goemaere, Evaluating GPS Data in Indoor Environments, Advances in Electrical and Computer Engineering, vol.11, no.3, pp.25-28, 2011, doi:10.4316/AECE.2011.03004 https://www.researchgate.net/publication/269978666_Evaluating_GPS_Data_in_Indoor _Environments, accessed 06/26/2023
[7] Teunissen P.J.G. Differential GPS: Concepts And Quality Control, Lectures for the Netherlands Institute of Navigation (NIN) .Amsterdam, September 27 1991, Department of Geodesy, Delft University of Technology, Delft, The Netherlands https://gnss.curtin.edu.au/wpcontent/ uploads/sites/21/2016/04/Teunissen1991Differential.pdf, accessed 06/26/2023
[8] OpenStreetMap: https://www.openstreetmap.org/, accessed 06/26/2023
[9] Using GeoJSON with Leaflet: https://leafletjs.com/examples/geojson/, accessed 06/26/2023
[10] Leaflet on Mobile: https://leafletjs.com/examples/mobile/, accessed 06/26/2023
[11] WiFi Analyzer (open-source) VREM Software Development: https://play.google.com/store/apps/details?id=com.vrem.wifianalyzer&hl=en_US, https://github.com/VREMSoftwareDevelopment/WiFiAnalyzer, accessed 06/26/2023
[12] ThingSpeak: https://thingspeak.com/channels, accessed 06/26/2023
[13] GPSLogger for Android: https://gpslogger.app/, https://github.com/mendhak/gpslogger, accessed 06/26/2023
conference
https://doi.org/10.5593/sgem2023/2.1/s08.21
Download PDF
Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
163-170
03 - 09 July, 2023
website
9101
indoor positioning system, Leaflet base map, geolocation and Wi-Fi position estimation, accuracy assessment