Developing Dense Wireless Signal and Magnetic Field Mapping Tool.
Annual IEEE International Conference on Pervasive Computing and Communications(2024)
摘要
In indoor localization, many researchers use localization methods based on combined data (fingerprints, FPs) of the coordinates of a point and the sensor values measured at that point. However, many current methods rely on human labor to collect the data and are not applicable to large-scale indoor spaces. Using the Visual SLAM method for localization, this study proposes an FP measurement method that can efficiently collect high-density FPs even in large indoor spaces.
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