Development of a Platform-independent Renderer for the Rendering of OpenStreetMap Indoor Maps in Flutter

Julia Richter, Robin Thomas, David Lange, Thomas Graichen, Ulrich Heinkel

2022

Abstract

With the development and spread of new localisation technologies, the construction of bigger buildings, as well as the continuous growth of digitalisation, the importance of indoor maps rises. However, developers who want to make use of indoor maps face several obstacles. Among them are the often costly data acquisition, the increased development overhead for diverse platforms, plus the missing support of indoor rendering in many libraries. In this work, the development of a free solution for platform-independent rendering of indoor data is presented based on public geodata that is provided by OpenStreetMap. For this goal, existing open source technologies such as the Flutter toolkit and the Mapsforge library were used in order to develop a flexible and freely accessible rendering engine that directly integrates in outdoor maps and leads to a seamless rendering of both indoor and outdoor in one map view. To prove platform independence and to measure performance, a prototype app was developed in Flutter. Finally, possibilities and limitations of this approach were examined in more detail.

Paper Citation

in Harvard Style

Richter J., Thomas R., Lange D., Graichen T. and Heinkel U. (2022). Development of a Platform-independent Renderer for the Rendering of OpenStreetMap Indoor Maps in Flutter. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP; ISBN 978-989-758-555-5, SciTePress, pages 147-154. DOI: 10.5220/0010781500003124

in Bibtex Style

@conference{grapp22,
author={Julia Richter and Robin Thomas and David Lange and Thomas Graichen and Ulrich Heinkel},
title={Development of a Platform-independent Renderer for the Rendering of OpenStreetMap Indoor Maps in Flutter},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP},
year={2022},
pages={147-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010781500003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP
TI - Development of a Platform-independent Renderer for the Rendering of OpenStreetMap Indoor Maps in Flutter
SN - 978-989-758-555-5
AU - Richter J.
AU - Thomas R.
AU - Lange D.
AU - Graichen T.
AU - Heinkel U.
PY - 2022
SP - 147
EP - 154
DO - 10.5220/0010781500003124
PB - SciTePress