[1] |
Z. Turgut, G. Z. G. Aydin, and A. Sertbas. Indoor localization techniques for smart building environment. Procedia Computer Science, 83:1176--1181, 2016. [ bib | DOI ] |
[2] |
F. Zafari, A. Gkelias, and K. K. Leung. A Survey of Indoor Localization Systems and Technologies. IEEE Communications Surveys & Tutorials, 21(3):2568--2599, 2019. [ bib | DOI ] |
[3] |
J. Xiong and K. Jamieson. ArrayTrack: A Fine-Grained Indoor Location System. In 10th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 13), pages 71--84. Springer, 2013. [ bib | DOI ] |
[4] |
S. Kumar, S. Gil, D. Katabi, and D. Rus. Accurate indoor localization with zero start-up cost. In Proceedings of the 20th annual international conference on Mobile computing and networking, pages 483--494. ACM, 2014. [ bib | DOI ] |
[5] |
S. Lee, S. Chae, and D. Han. ILoA: Indoor Localization Using Augmented Vector of Geomagnetic Field. IEEE Access, 8(3):184242--184255, 2020. [ bib | DOI ] |
[6] |
W. Guan, S. Chen, S. Wen, Z. Tan, H. Song, and Wenyuan Hou. High-Accuracy Robot Indoor Localization Scheme Based on Robot Operating System Using Visible Light Positioning. IEEE Photonics Journal, 12(2):1--16, 2020. [ bib | DOI ] |
[7] |
F. Gu, S. Valaee, K. Khoshelham, J. Shang, and R. Zhang. Landmark graph-based indoor localization. IEEE Internet of Things Journal, 7(9):8343 -- 8355, 2020. [ bib | DOI ] |
[8] |
B. Mahmood, S. Han, and D. Lee. BIM-Based Registration and Localization of 3D Point Clouds of Indoor Scenes Using Geometric Features for Augmented Reality. Remote Sensing, 12(4), 2020. [ bib | DOI ] |
[9] |
H. Zhang, K. Liu, F. Jin, L. Feng, V. Lee, and J. Ng. A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in Wi-Fi environments. Neural Computing and Applications, 32(9):5131--5145, 2020. [ bib | DOI ] |
[10] |
H. Ghaffarian. Reducing Search Area in Indoor Localization Applications. Wireless Personal Communicationss, 117(2):1243--1258, 2021. [ bib | DOI ] |
[11] |
V. Guimarães, L. Castro, S. Carneiro, M. Monteiro, T. Rocha, M. Barandas, M. Machado, M. Vasconcelos, H. Gamboa, and D. Elias. A motion tracking solution for indoor localization using smartphones. In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pages 1--8. IEEE, 2016. [ bib | DOI ] |
[12] |
H. Lee, M. Wicke, B. Kusy, and L. Guibas. Localization of mobile users using trajectory matching. In Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environment, page 123–128. ACM, 2008. [ bib | DOI ] |
[13] |
A. Rai, K. K. Chintalapudi, V. N. Padmanabhan, and R. Sen. Zee: Zero-effort crowdsourcing for indoor localization. In Proceedings of the 18th annual international conference on Mobile computing and networking, page 293–304. ACM, 2012. [ bib | DOI ] |
[14] |
W. Stallings. Wireless Communications and Networks. Pearson College, 2004. [ bib ] |
[15] |
A. Girgensohn, M. Patel, and J. T. Biehl. Radio-frequency-based indoor-localization techniques for enhancing Internet-of-Things applications. Personal and Ubiquitous Computing, pages 1--17, 2020. [ bib | DOI ] |
[16] |
K. F. P. Wye, S. M. M. S. Zakaria, L. M. Kamarudin, A. Zakaria, and N. B. Ahmad. Recent Advancements in Radio Frequency based Indoor Localization Techniques. In Journal of Physics: Conference Series. IOP Publishing, 2021. [ bib | DOI ] |
[17] |
S. Tiku, S. Pasricha, B. Notaros, and Q. Han. A Hidden Markov Model based smartphone heterogeneity resilient portable indoor localization framework. Journal of Systems Architecture, 108:101806, 2020. [ bib | DOI ] |
[18] |
G. Jekabsons and V. Zuravlyov. Refining Wi-Fi based indoor positioning. In Proceedings of 4th International Scientific Conference Applied Information and Communication Technologies (AICT), Jelgava, Latvia, pages 87--95, 2010. [ bib | DOI ] |
|