MACHINE LEARNING / FINAL-YEAR PROJECT
Finding our way indoors.
Using Wi-Fi Channel State Information to predict indoor locations. A comparison of classical machine learning, CNNs, TCNs and Transformers—with a closer look at what changes when transmitter orientation shifts.
The question behind the project: does strong performance in familiar conditions survive a change in the real world?
Explore the project ↗