VLC-Based Indoor Localization

Dec 31, 2014

This is a project I worked on with Prof. Ming Liu and Mr. Kejie Qiu when I was a research assistant in the RAM-LAB at HKUST.

Contributions:

  • Developed a beacon code selection algorithm and a decomposition algorithm for blindly mixed beacon signals, based on CDMA code selection principles and Gold-sequence correlation properties.
  • Participated in the development of a light intensity distribution map generation algorithm using Gaussian Process Regression.
  • Participated in the development of localization and path planning algorithms using Kalman Filter (KF) and A star.
indoor localization visible light communication path planning
Fangyi Zhang
Fangyi Zhang
Researcher in Robotics and Artificial Intelligence

Dr. Fangyi Zhang is currently a research fellow in the QUT Centre for Robotics.

Publications

Let the Light Guide Us: VLC-based Localization
We propose to use visible-light beacons for low-cost indoor localization. Modulated light-emitting diode (LED) lights are adapted for …
Kejie Qiu, **Fangyi Zhang**, Ming Liu
PDF Project
Visible Light Communication-based Indoor Localization using Gaussian Process
For mobile robots and position-based services, such as healthcare service, precise localization is the most fundamental capability …
Kejie Qiu, **Fangyi Zhang**, Ming Liu
PDF Project
Visible Light Communication-based Indoor Environment Modeling and Metric-free Path Planning
For mobile robots and position-based services, localization is the most fundamental capability while path-planning is an important …
Kejie Qiu, **Fangyi Zhang**, Ming Liu
PDF Project
Asynchronous Blind Signal Decomposition Using Tiny-Length Code for Visible Light Communication-Based Indoor Localization
Indoor localization is a fundamental capability for service robots and indoor applications on mobile devices. To realize that, the cost …
**Fangyi Zhang**, Kejie Qiu, Ming Liu
PDF Project Video