Ubiquitous smartphone based localization with door crossing detection

TL;DR

This paper presents a smartphone-based localization method that detects crossing points between indoor and outdoor environments, enabling seamless positioning without additional infrastructure, tested across diverse real-world conditions.

Contribution

It introduces a novel algorithm for crossing detection that does not require new infrastructure and works on standard smartphones, enhancing seamless indoor-outdoor positioning.

Findings

Algorithm successfully detects environment crossings in real-world tests.

Works across various smartphone devices and user conditions.

Improves accuracy and reliability of seamless positioning systems.

Abstract

The positioning of users using their smartphones represents interesting service for various areas. Position of users can represent valuable information for various service providers. In industry 4.0 smart devices such as smartphone or tablet can help users to react faster in case of emergency. It can help to reduce reaction times for service workers and improve users orientation in the environment, or delegate work to the nearest available employee. In previous work we have described modular positioning system that is able to automatically select optimal positioning module based on available radio signals. In this paper we will focus on estimation of crossing between environments e.g. indoor and outdoor. The proposed algorithm is crucial for implementation of seamless positioning. Since both environments have specific demands not only on positioning solutions but also on maps and navigation algorithms. The proposed algorithm does not require deployment of new infrastructure and can be used on widely available smartphones. The algorithm was tested in real conditions by different users and using various smartphone devices to prove its performance under various conditions.