Loading...

GOPA: geometrical optics positioning algorithm

Hosseinianfar, H ; Sharif University of Technology | 2019

711 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/ICCE.2019.8856168
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. In this paper, we propose an accurate visible light indoor localization system for a smartphone using the commercial light-emitting diode (LED) panels which are used primarily for lighting. Each of designed lighting panel contains a space-colorcoded identifier, a matrix with a unique pattern of spatially separated colored LEDs, for labeling different positioning cells while the lighting color is kept white by balancing the number of different sets of colored LEDs. The advantage of this idea is that we do not use the time-frequency domain of visible light communication (VLC) networks resources for positioning signaling. Our positioning technique called geometrical optics positioning algorithm (GOPA) is an angle of arrival (AOA)-based geometrical algorithm on smartphones to locate the device. The front-facing camera of the smartphone is used at the receiver side to capture the image. Experimental results show robust two-dimensional (2-D) and three-dimensional (3-D) positioning. The experimental mean positioning error for 2-D positioning is 0.54 cm, in case of ignoring the tilt. The experimental mean positioning errors for 3-D positioning are respectively 1.24 cm, and 1.85 cm for ideal non-tilted and non-oriented, and non-tilted but orientated scenarios. © 2019 IEEE
  6. Keywords:
  7. Camera-based localization ; Image sensor ; Visible light indoor positioning ; Cameras ; Direction of arrival ; Frequency domain analysis ; Geometrical optics ; Geometry ; Image sensors ; Indoor positioning systems ; Light ; Light emitting diodes ; Smartphones ; Angle of arrival.(AOA) ; Camera-based ; Indoor positioning ; space-color-coded identifier ; Visible light communications (VLC) ; Visible light communication
  8. Source: 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, 11 January 2019 through 13 January 2019 ; Volume 2019-January , 2019 ; 9781538679104 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8856168