@inproceedings{51651522bf0f4cb2aa03628a838f8ea9,
title = "A Combined PDR and Wi-Fi Trilateration Algorithm for Indoor Localization",
abstract = "Indoor localization using Wi-Fi or pedestrian dead reckoning (PDR) has several limitations in terms of Wi-Fi signal fluctuations and PDR drift errors. To overcome these limitations, we propose a sensor fusion framework for Wi-Fi and PDR systems. The proposed sensor fusion will overcome the PDR drift errors by analysing the Wi-Fi signal strength and the PDR results will compensate the Wi-Fi signal fluctuations. Based on the experiments conducted, results show that the proposed fusion indoor positioning algorithm shows high position accuracy over Wi-Fi localization and PDR systems when used independently. Our proposed combined position estimation algorithm achieves an improved average localization accuracy of 1.6 m when compared to the Wi-Fi and PDR systems when used independently.",
keywords = "Android-based smart-phone, Indoor localization, Kalman filter, Pedestrian dead reckoning (PDR), quaternion, RSSI, sensor fusion, smart phone, Trilateration, Wi-Fi",
author = "Alwin Poulose and Eyobu, {Odongo Steven} and Han, {Dong Seog}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019 ; Conference date: 11-02-2019 Through 13-02-2019",
year = "2019",
month = mar,
day = "18",
doi = "10.1109/ICAIIC.2019.8669059",
language = "English",
series = "1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "72--77",
booktitle = "1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019",
address = "United States",
}