Lrf-wivi: a wifi and visual indoor localization method based on low-rank fusion

HIGHLIGHTS

  • who: Wen Liu et al. from the School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China have published the article: LRF-WiVi: A WiFi and Visual Indoor Localization Method Based on Low-Rank Fusion, in the Journal: Sensors 2022, 22, 8821. of /2022/
  • what: In this paper and fingerprint model is proposed which makes full use of the complementarity of heterogeneous signals by modeling both the signal-specific actions and interaction of location information in the two signals end-to-end. The authors design a double-branch CNN to extract the feature . . .

     

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