TY  - JOUR
ID  - SisLab1724
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1724/
A1  - Nguyen, Ngoc Tan
A1  - Suebsomran, Anan
A1  - Sripimanwat, Keattisak
A1  - Nguyen, Nam Hoang
Y1  - 2015///
N2  - A key problem of mobile robots is that of the positioning capability in order to detect their locations in the operating environment. A promising technology used in indoor localization recently is Visible Light Communication (VLC). In this paper, an integrated Angle of Arrival-Received Signal Strength (AOA-RSS) localization method using the VLC, which could get high accuracy with simple hardware, is proposed. In addition, the Extended Kalman Filter (EKF) and Particle Filter (PF) algorithms are combined with the proposed AOA-RSS localization method in order to achieve higher accuracy of the mobile robot positioning. By computer simulation, the performance of the proposed AOA-RSS localization method combined with the EKF and PF algorithms are compared. The combination scheme outperforms the individual VLC localization with small error approximation of a few centimetres.
PB  - SAGE Journal
JF  - Transactions of the Institute of Measurement and Control
SN  - 1477-0369
TI  - Design and simulation of a novel indoor mobile robot localization method using a light-emitting diode positioning system
AV  - public
ER  -