Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 309-312, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-309-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 309-312, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-309-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 Jun 2016

13 Jun 2016

AUTOMATIC CONSTRUCTION OF WI-FI RADIO MAP USING SMARTPHONES

Tao Liu1,2, Qingquan Li2, and Xing Zhang2 Tao Liu et al.
  • 1School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • 2Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China

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.