Enhancing wifi-based localization with visual clues

  title={Enhancing wifi-based localization with visual clues},
  author={Han Xu and Zheng Yang and Zimu Zhou and Longfei Shangguan and Ke Yi and Yunhao Liu},
Indoor localization is of great importance to a wide range of applications in the era of mobile computing. Current mainstream solutions rely on Received Signal Strength (RSS) of wireless signals as fingerprints to distinguish and infer locations. However, those methods suffer from fingerprint ambiguity that roots in multipath fading and temporal dynamics of wireless signals. Though pioneer efforts have resorted to motion-assisted or peer-assisted localization, they neither work in real time nor… CONTINUE READING
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