Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning

HIGHLIGHTS

  • who: Willem Raes and collaborators from the (UNIVERSITY) have published the article: Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning, in the Journal: (JOURNAL)
  • what: The experiments focus on achieving robustness to cope with unknown received signal strength modifications over time. In this work, environmental dynamics are simulated by changing transmitter LED currents and by scattering dust on the surface of the PD. In this work, two methods to obtain relative intensities from the set r of absolute intensities are investigated. The models described in the coming sections . . .

     

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