# Distances for WiFi Based Topological Indoor Mapping

arXiv: https://arxiv.org/abs/1809.07405 · HTML: https://mlsanity.com/paper/1809.07405/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Sep 2018.

## Built on by (most cited first, 1 of 1)

- [Topological Indoor Mapping through WiFi Signals](https://mlsanity.com/paper/2106.09789/) (2021)

## Abstract (arXiv)

For localization and mapping of indoor environments through WiFi signals, locations are often represented as likelihoods of the received signal strength indicator. In this work we compare various measures of distance between such likelihoods in combination with different methods for estimation and representation. In particular, we show that among the considered distance measures the Earth Mover's Distance seems the most beneficial for the localization task. Combined with kernel density estimation we were able to retain the topological structure of rooms in a real-world office scenario.