Conference Proceedings

Fast and Reliable WiFi Fingerprint Collection for Indoor Localization

Kourosh Khoshelham, Milad Ramezani, Fuqiang Gu, Xiaoping Zheng, Ruqin Zhou, Jianga Shang

China University of Geosciences | Published : 2019

Abstract

Fingerprinting is a popular indoor localization technique since it can utilize existing infrastructures (e.g., access points). However, its site survey process is a labor-intensive and time-consuming task, which limits the application of such systems in practice. In this paper, motivated by the availability of advanced sensing capabilities in smartphones, we propose a fast and reliable fingerprint collection method to reduce the time and labor required for site survey. The proposed method uses a landmark graph-based method to automatically associate the collected fingerprints, which does not require active user participation. We will show that besides fast fingerprint data collection, the pr..

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Funding Acknowledgements

This work is supported by the National Key Research and Development Program of China (No. 2016YFB0502200)