This paper proposes BluNavi, a cost- efficient and widely deployable indoor navigation system. BluNavi implements and compares two modules: Wi-Fi fingerprinting and an extended Kalman Filter based on dead reckoning and bluetooth low energy beacon signals. Each module was evaluated for its accuracy. |