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[ANZ17] Error Density for indoor localization based on RSSI fingerprint
Conférence Internationale avec comité de lecture : ISWCS 2017, August 2017, pp.1-5, Bologne, Italy,Mots clés: RSSI fingerprinting
Résumé:
Abstract—This paper introduces a new localization performance
evaluation parameter named ’Error Density’. It is given
by the ratio between the mean error and the indoor environment
area. We believe that such parameter is relevant in order to
compare different localization methods proposed by different
research teams in their own indoor areas. We propose to
compare existing localization algorithms with the kernel method
based localization using RSSI fingerprints applied to the public indoor localization database
BibTeX
| @inproceedings { | |||
| ANZ17, | |||
| title | = | "{Error Density for indoor localization based on RSSI fingerprint}", | |
| author | = | " I. Ahriz and W. Njima and R. Zayani and M. Terre and R. Bouallegue ", | |
| booktitle | = | "{ISWCS 2017}", | |
| year | = | 2017, | |
| month | = | "August", | |
| pages | = | "1-5", | |
| address | = | "Bologne, Italy", | |
| } | |||
