The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Citation
Articles | Volume XLI-B4
https://doi.org/10.5194/isprs-archives-XLI-B4-309-2016
https://doi.org/10.5194/isprs-archives-XLI-B4-309-2016
13 Jun 2016
 | 13 Jun 2016

AUTOMATIC CONSTRUCTION OF WI-FI RADIO MAP USING SMARTPHONES

Tao Liu, Qingquan Li, and Xing Zhang

Keywords: Indoor Localization, Navigation, Image Matching, Radio Map

Abstract. Indoor positioning could provide interesting services and applications. As one of the most popular indoor positioning methods, location fingerprinting determines the location of mobile users by matching the received signal strength (RSS) which is location dependent. However, fingerprinting-based indoor positioning requires calibration and updating of the fingerprints which is labor-intensive and time-consuming. In this paper, we propose a visual-based approach for the construction of radio map for anonymous indoor environments without any prior knowledge. This approach collects multi-sensors data, e.g. video, accelerometer, gyroscope, Wi-Fi signals, etc., when people (with smartphones) walks freely in indoor environments. Then, it uses the multi-sensor data to restore the trajectories of people based on an integrated structure from motion (SFM) and image matching method, and finally estimates location of sampling points on the trajectories and construct Wi-Fi radio map. Experiment results show that the average location error of the fingerprints is about 0.53 m.