INSURE helps indoor positioning researchers!

The INSURE team has recently made public an open-access combined data set and software (Matlab and Python) for studies of robustness and accuracy on indoor positioning via crowdsensed
WiFi fingerprinting.
The data and software are available at
https://zenodo.org/record/889798 and they are described in a recently published article in MDPI Data: http://www.mdpi.com/2306-5729/2/4/32.
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