FogFP compares indoor localization techniques for indoor crowd localization based on Wi-Fi probe sniffing. Inputs to the program are: a database dump containing probe entries, an indoor map, and a list of known devices (MAC address). FogFP implements various algorithms, for computing the estimated position and more algorithms can be easily integrated. The main algorithms implemented are based on fingerprinting on an interpolated regular grid. Output consists of plots and tables for evaluating the performance of localization methods.
Indoor crowd localization using wi-fi probe sniffers [Release 1.61]
Potorti' F.;Crivello A.
2016
Abstract
FogFP compares indoor localization techniques for indoor crowd localization based on Wi-Fi probe sniffing. Inputs to the program are: a database dump containing probe entries, an indoor map, and a list of known devices (MAC address). FogFP implements various algorithms, for computing the estimated position and more algorithms can be easily integrated. The main algorithms implemented are based on fingerprinting on an interpolated regular grid. Output consists of plots and tables for evaluating the performance of localization methods.File in questo prodotto:
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