TY  - CONF
ID  - SisLab3684
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3684/
A1  - Trinh, Vu Tuan Anh
A1  - Dinh, Thi Thai Mai
A1  - Nguyen, Quoc Tuan
A1  - Sandrasegaran, Kumbesan
Y1  - 2018/08/08/
N2  - In this paper, we propose a Bluetooth Low Energy (BLE) iBeacon based localization system, in which we combine two popular positioning methods: Pedestrian Dead Reckoning (PDR) and fingerprinting. As we build the system as an application running on an iPhone, we choose Kalman filter as the fusion algorithm to avoid complex computation. In fingerprinting, a multi-direction-database approach is applied. Finally, in order to reduce the cumulative error of PDR due to smartphone sensors, we propose an algorithm that we name ?Distance-based position correction?. The aim of this algorithm is to occasionally correct the tracked position by using the iBeacon nearest to the user. In real experiments, our system can run smoothly on an iPhone, with the average positioning error of only 0.63 m.
TI  - Indoor Positioning using BLE iBeacon, smartphone Sensors and Distance-based Position Correction Algorithm
AV  - public
T2  - The 4th International Conference on Research in Intelligent and Computing in Engineering
ER  -