Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 309-312, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
13 Jun 2016
Tao Liu1,2, Qingquan Li2, and Xing Zhang2 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.
Conference paper (PDF, 1252 KB)

Citation: Liu, T., Li, Q., and Zhang, X.: AUTOMATIC CONSTRUCTION OF WI-FI RADIO MAP USING SMARTPHONES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 309-312,, 2016.

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