Precise indoor localization using smart phones

Abstract

We present an indoor localization application leveraging the sensing capabilities of current state of the art smart phones. To the best of our knowledge, our application is the first one to be implemented in smart phones and integrating both offline and online phases of fingerprinting, delivering an accuracy of up to 1.5 meters. In particular, we have studied the possibilities offered by WiFi radio, cellular communications radio, accelerometer and magnetometer, already embedded in smart phones, with the intention to build a multimodal solution for localization. We have also implemented a new approach for the statistical processing of radio signal strengths, showing that it can outperform existing deterministic techniques.

Platform for benchmarking of RF-based indoor localization solutions

“…Typically, these are office environments with brick walls [6,7]. Since evaluation is rather time consuming, most localization solutions are evaluated only in a single environment.…”

Comparability of RF-based indoor localisation solutions in heterogeneous environments: an experimental study

“…& energy cons. GSM fingerprinting (Otsason et al, 2005) Office / home university, research lab, house Point accuracy WiFi Bayesian (Ladd et al, 2004) Office Their own hallway Point accuracy EZ localisation (Chintalapudi et al, 2010) Office Office floor, Call Centre Point accuracy Smartphone localisation (Martin et al, 2010) University Berkeley campus Point accuracy WiFi in tunnel (Sunkyu et al, 2011) Mining Tunnel in Guangzhou MTR Point accuracy Fingerprinting (Stella et al, 2014) University Fourth floor of university building Point accuracy UWB fingerprinting (Steiner and Wittneben, 2011) Office / testroom Anechoic chamber, office floor # of multipath components main approaches are possible. For industry-related testing, an evaluation track can be created that mimics typical operations in a building.…”

A Review and Insight on Various Indoor Positioning and Navigation Techniques

“…The accuracy depends on the number of positions that have been entered into the database. [10] The possible signal fluctuations that may occur can increase errors and inaccuracies in the path of the user. Fluctuations can occur due to dynamic changes such as temperature, the number of people present in build ing, and any other environmental factors wh ich will affect the radio map.…”