HYBRID NAVIGATION SYSTEM FOR INDOOR USE
Article Sidebar
Open full text
Issue Vol. 12 No. 1 (2022)
-
METHODS FOR ENSURING DATA SECURITY IN MOBILE STANDARDS
Serhii Moroz, Anatolii Tkachuk, Mykola Khvyshchun, Stanislav Prystupa, Mykola Yevsiuk4-9
-
HYBRID NAVIGATION SYSTEM FOR INDOOR USE
Michał Styła, Przemysław Adamkiewicz10-14
-
INDOOR LOCALIZATION SYSTEM USING UWB
Dominik Gnaś, Przemysław Adamkiewicz15-19
-
APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN WALL MOISTURE IDENTIFICATION BY EIT METHOD
Grzegorz Kłosowski, Tomasz Rymarczyk20-23
-
TILTED FIBER BRAGG GRATING SENSORS FOR REFRACTIVE INDEX MEASUREMENTS OF LIQUID SOLUTIONS
Damian Harasim24-27
-
OPTIMISATION OF COMMERCIAL BUILDING MANAGEMENT PROCESSES USING USER BEHAVIOUR ANALYSIS SYSTEMS SUPPORTED BY COMPUTATIONAL INTELLIGENCE AND RTI
Michał Styła, Przemysław Adamkiewicz28-35
-
Development of deposition technology and AC measurement of copper ultrathin layers
Aleksandra Wilczyńska, Karolina Czarnacka, Andrzej Kociubiński, Tomasz Kołtunowicz36-39
-
NEURAL NETWORKS FROM KERAS IN SKIN LESION DIAGNOSTIC
Magdalena Michalska-Ciekańska40-43
-
DETERMINING THE WORKING LENGTH OF A ROOT CANAL USING INTRAORAL RADIOGRAPHY SEGMENTATION
Oleksii Perepelytsia, Tetyana Nosova44-46
Archives
-
Vol. 14 No. 4
2024-12-21 25
-
Vol. 14 No. 3
2024-09-30 24
-
Vol. 14 No. 2
2024-06-30 24
-
Vol. 14 No. 1
2024-03-31 23
-
Vol. 13 No. 4
2023-12-20 24
-
Vol. 13 No. 3
2023-09-30 25
-
Vol. 13 No. 2
2023-06-30 14
-
Vol. 13 No. 1
2023-03-31 12
-
Vol. 12 No. 4
2022-12-30 16
-
Vol. 12 No. 3
2022-09-30 15
-
Vol. 12 No. 2
2022-06-30 16
-
Vol. 12 No. 1
2022-03-31 9
-
Vol. 11 No. 4
2021-12-20 15
-
Vol. 11 No. 3
2021-09-30 10
-
Vol. 11 No. 2
2021-06-30 11
-
Vol. 11 No. 1
2021-03-31 14
-
Vol. 10 No. 4
2020-12-20 16
-
Vol. 10 No. 3
2020-09-30 22
-
Vol. 10 No. 2
2020-06-30 16
-
Vol. 10 No. 1
2020-03-30 19
Main Article Content
DOI
Authors
przemyslaw.adamkiewicz@cbrti.pl
Abstract
This article describes the design and implementation of a hybrid in-building navigation system. The word hybrid has a twofold meaning in this case. On the one hand, it refers to the use of two tracking methods: demanding (beacons) and not requiring an electronic device (radio tomography imaging). On the other hand, it specifies several commercial wireless communication protocols that make up the presented system. Ultimately, the network created in this way will be designed to provide the user with location and navigation services with increased accuracy and reliability. The text describes both the topology of created networks, methods of communication between devices and their hardware layer, as well as the effects of work resulting from the actual test object.
Keywords:
References
Bluetooth SIG. Bluetooth Core Specification, version 4.0. Bluetooth SIG: Kirkland, WA, USA, 2010.
Kaltiokallio O., Bocca M.: Real-time intrusion detection and tracking in indoor environment through distributed RSSI processing. Proceedings of the 2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications, 2011, 61–70. DOI: https://doi.org/10.1109/RTCSA.2011.38
Maj M., Rymarczyk T., Kania K., Niderla K., Styła M., Adamkiewicz P.: Application of the Fresnel zone and Free-space Path for image reconstruction in radio tomography. International Interdisciplinary PhD Workshop 2019 – IIPhDW 2019, Wismar, Germany. DOI: https://doi.org/10.1109/IIPHDW.2019.8755429
Rymarczyk T., Styła M., Oleszek M., Maj M., Kania K., Adamkiewicz P.: Object detection using radio imaging tomography and tomographic sensors, Przegląd Elektrotechniczny 96(1), 2020, 182–185. DOI: https://doi.org/10.15199/48.2020.01.40
Styła M., Oleszek M., Rymarczyk T., Maj M., Adamkiewicz P.: Hybrid sensor for detection of objects using radio tomography. Proc. Applications of Electromagnetics in Modern Engineering and Medicine – PTZE 2019, 219–223. DOI: https://doi.org/10.23919/PTZE.2019.8781693
Vauhkonen M., Vadasz D., Karjalainen P. A., Somersalo E., Kaipio J. P.: Tikhonov regularization and prior information in electrical impedance tomography. IEEE Trans. Med. Imaging 17, 1998, 285–293. DOI: https://doi.org/10.1109/42.700740
Wilson J., Patwari N.: See-through walls: Motion tracking using variance-based radio tomography networks. IEEE Trans. Mob. Comput. 10, 2010, 612–621. DOI: https://doi.org/10.1109/TMC.2010.175
Article Details
Abstract views: 300
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
