USING SMART MOBILE DEVICE FOR INDOOR NAVIGATION WITH SCENE CONSTRAINT

Abstract

The usages of the navigation and location have become essential from nowadays because of the fast development of mobile device and the navigation technique. It is easy to use Global Navigation Satellite System (GNSS) to locate and navigate outdoors. Signals of GNSS are obstructed so navigation and positioning cannot apply indoors. Hence, methods of indoor positioning thriving like Wireless, Bluetooth, RFID, IBeacon etc.Every method of indoor positioning has different cost and it directly affects the selection of indoor positioning technique. This study uses data of gyroscope and accelerometer from Micro Electro Mechanical Systems (MEMS) and detects footsteps by using filter to smooth the signal, and then estimate the step length by the ordinary least square. The position is computed by Pedestrian Dead Reckoning (PDR) method and used azimuth between object and check point to adjust position. The results of this study show using the Savitzky-Golay Filter to detect footsteps and applying azimuth to adjust position can get the walk tracks closure down to 0.789m.