Heterogeneous Device Resilient Indoor Localization Using Vision Transformer Neural Networks-Reference-Cited by-同舟云学术

Heterogeneous Device Resilient Indoor Localization Using Vision Transformer Neural Networks

Published:2023 Issue: Volume: Page:357-375
ISSN:
Container-title:Machine Learning for Indoor Localization and Navigation
language:
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Author:

Gufran Danish,Tiku Saideep,Pasricha Sudeep

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26712-3_15

Reference29 articles.

1. Martinez R et al (2021) Revisiting the analysis of hyperparameters in k-NN for Wi-Fi and BLE fingerprinting: current status and general results. In: IEEE IPIN, Lloret de Mar

2. “Target rolls out Bluetooth beacon technology in stores to power new indoor maps in its app” (2022) [Online]. http://tcrn.ch/2fbIM0P

3. Salamah AH et al (2016) An enhanced WiFi indoor localization system based on machine learning. In: IEEE IPIN, Alcala de Henares

4. Raza A et al (2021) Comparing and evaluating indoor positioning techniques. In: IEEE IPIN, Lloret de Mar

5. Langlois C, Tiku S, Pasricha S (2017) Indoor localization with smartphones: Harnessing the Sensor Suite in Your Pocket. IEEE CEM 6(4):70–80. https://doi.org/10.1109/MCE.2017.2714719

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