Machine Learning for RSS-Based Visible Light Positioning

Visible Light Positioning is an indoor localization technology that uses wireless transmission of visible light signals to obtain a location estimate of a mobile receiver. 

This dataset can be used to validate supervised machine learning approaches in the context of Received Signal Strength Based Visible Light Positioning. 

The set is acquired in an experimental setup that consists of 4 LED transmitter beacons and a photodiode as receiving element that can move in 2D.

The dataset contains, as features, the demultiplexed received light intensities of the 4 beacons and, as target vectors, the associated measurement locations.