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Supporting Process of Independent Navigation Inside Buildings Based on Low-Energy Bluetooth Transmitters

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Thanks to the use of satellite positioning systems (including GPS) the ability to determine a user's position in open spaces has become a necessary element of everyday life. Nowadays people cannot imagine moving in an "urban jungle” with paper maps without electronic support, but dozens of years ago those maps were more popular than satellite navigation. A similar revolution may also await navigations in closed spaces such as public or commercial buildings. Because as the urbanisation process, the surfaces of various buildings grow, which significantly impedes orientation in them, especially for the blind or visually impaired users. As satellite navigation systems are burdened with errors, which increase when trying to use them in confined spaces, it becomes necessary to use more accurate technology. As a step towards solving this problem, we propose a solution supporting the navigation of users, especially the visually impaired, inside buildings. Our approach is based on using low energy Bluetooth transmitters and a method of determining the user's position using the trilateration algorithm and the appropriate placement of transmitters in a space.
Rocznik
Strony
71--83
Opis fizyczny
Bibliogr. 10 poz., tab., wykr.
Twórcy
  • GENBIT Student Branch, Siedlce University of Natural Sciences and Humanities, Faculty of Exact and Natural Sciences, Institute of Computer Science, ul. 3 Maja 54, 08-110 Siedlce, Poland
Bibliografia
  • 1. Palumbo F., Barsocchi P., Chessa S., Augusto J. C., A stigmergic approach to indoor localisation using Bluetooth Low Energy beacons, in: Proc. of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015.
  • 2. Subhan F., Hasbullah H., Rozyyev A., Bakhsh S. T., Indoor positioning in Bluetooth networks using fingerprinting and lateration approach, in: Proc. of International Conference on Information Science and Applications, IEEE, 2011.
  • 3. Xu H., Yang Z., Zhou Z., Shangguan L., Yi K., Liu Y., Enhancing WiFi-based localisation with visual clues, in: Proc. of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), ACM, pp. 963-974, 2015.
  • 4. Wang J., Katabi D., Dude, where’s my card?: RFID positioning that works with multipath and non-line of sight, ACM SIGCOMM Computer Communication Review 43 (4), pp. 51-62, 2013.
  • 5. Asmaa L., Hatim K. A., Abdelaziz M., "Localisation algorithms research in wireless sensor network based on Multilateration and Trilateration techniques,” in: 2014 Third IEEE International Colloquium in Information Science and Technology (CIST), pp. 415-419, 2014.
  • 6. Murata M., Ahmetovic D., Sato D., Takagi H., Kitani K. M., Asakawa Ch., Smartphone-based localisation for blind navigation in building-scale indoor environments, Pervasive and Mobile Computing, Volume 57, pp. 14-32, ISSN 1574-1192, 2019.
  • 7. Strumiłło P., (2012), Elektroniczne systemy nawigacji osobistej dla niewidomych i słabowidzących. Politechnika Łódzka, Łódź.
  • 8. Hilsenbeck S., Bobkov D., Schroth G., Hull R., Steinbach E., Graph-based data fusion of pedometer and Wi-Fi measurements for mobile indoor positioning, in: Proc. of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), ACM, pp. 147-158, 2014.
  • 9. Bejuri W. M. Y. W., Mohamad M. M., Sapri M. and Rosly M. A., Ubiquitous WLAN/Camera Positioning using Inverse Intensity Chromaticity Space-based Feature Detection and Matching: A Preliminary Result. International Conference on Man-Machine Systems 2012 (ICOMMS 2012), Penang, MALAYSIA, 2012.
  • 10. Zhao X., Xiao Z., Markham A., Trigoni N., Ren Y., Does BTLE measure up against Wi-Fi? a comparison of indoor location performance, in: Proc. of the 20th European Wireless Conference (EW), 2014.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-76de4f73-40c0-4fc4-a173-f9c16c66b880
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