Indoor positioning on smartphones using built-in sensors and visual images

HIGHLIGHTS

  • who: Jiaqiang Yang and colleagues from the Department of Electronic and Communication Engineering, Heilongjiang University, Harbin, China have published the research: Indoor Positioning on Smartphones Using Built-In Sensors and Visual Images, in the Journal: Micromachines 2022, x of /2022/
  • what: Practical applications position estimation using is easily influenced by the user`s photo pose. this paper the authors propose a multiple-sensor-assisted localization method which the method constructs a machine learning classifier using multiple smart for pedestrian pose estimation which improves the retrieval efficiency and localization accuracy. The main contributions of the research . . .

     

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