WILL: Wireless indoor localization without site survey

By Chenshu Wu, Zheng Yang, Yunhao Liu, Wei Xi. 2012 Proceedings IEEE INFOCOM, 2012

517 citations recorded by the source corpus.

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Fusing Similarity-Based Sequence and Dead Reckoning for Indoor Positioning Without Training (2017, background): “Therefore, some researchers proposed different techniques to reduce this phase [11]–[13].”
Locating in fingerprint space: wireless indoor localization with little human intervention (2012, background): “Several other works like [34, 32] adopt the similar solution as well.”
Accurate indoor localization with zero start-up cost (2014, background): “Several RF localization papers use mobile motion sensors as hints for localization, either coupled with Wi-Fi signal strength for fingerprinting [36, 3, 26] or with GPS measurements [6, 31].”
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, methodology): “Implicit user participation: To reduce user burden, some recent work, including WILL [18], is proposed to map collected RSSI vectors onto the indoor map during users’ daily walk.”
Push the limit of WiFi based localization for smartphones (2012, result): “Similar or much larger errors (e.g., > 15m) have been reported in previous studies [3, 27].”
A Survey on Wireless Indoor Localization from the Device Perspective (2016, methodology): “WILL [Wu et al. 2012b] proposed a “logical map” to bypass site survey.”