Zhuoying Shi
ABSTRACT
In this demo, we propose I-Navi, an Indoor Navigation system which leverages the gradient WiFi signal. To be more adaptive to time-variant RSSI and enrich information dimension, I-Navi exploits a three-step backward gradient binary method. Meanwhile, we adopt a lightweight online dynamic time warping (DTW) algorithm to achieve real-time navigation. We fully implemented I-Navi on smartphones and conducted extensive experiments in a five-story campus building and a newly opened two-floor shopping mall with a 90% accuracy of 2m and 3.2m achieved at two places.
- Yuanchao Shu, Yinghua Huang, Jiaqi Zhang, Philippe Coué, Peng Cheng, Jiming Chen, and Kang G Shin. 2016. Gradient-based fingerprinting for indoor localization and tracking. IEEE Transactions on Industrial Electronics 63, 4 (2016), 2424--2433.Google Scholar
Cross Ref
- Yuanchao Shu, Kang G Shin, Tian He, and Jiming Chen. 2015. Last-Mile Navigation Using Smartphones. In ACM MobiCom. ACM. Google ScholarDigital Library
Index Terms
- Indoor Navigation Leveraging Gradient WiFi Signals
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