# Dynamic Accuracy Estimation in a Wi-Fi-based Positioning System

arXiv: https://arxiv.org/abs/2601.00999 · HTML: https://mlsanity.com/paper/2601.00999/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 9 references that are in the map.
- First posted on arXiv 2 Jan 2026.

## Builds on (most cited first, 1 of 1)

- [Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy](https://mlsanity.com/paper/2011.10478/) (2020)

## Abstract (arXiv)

The paper presents a concept of a dynamic accuracy estimation method, in which the localization errors are derived based on the measurement results used by the positioning algorithm. The concept was verified experimentally in a Winobreakdash-Fi based indoor positioning system, where several regression methods were tested (linear regression, random forest, k-nearest neighbors, and neural networks). The highest positioning error estimation accuracy was achieved for random forest regression, with a mean absolute error of 0.72 m.