Adaptive Bootstrapping for Crowdsourced Indoor Maps

Georgios Pipelidis, Christian Prehofer, Ilias Gerostathopoulos


Indoor mapping is an important and necessary enabler for many applications. However, indoor places and their services are very diverse. Furthermore, many technical approaches for indoor mapping exist. While there is fruitful research on combining some of these techniques, we show the need for flexible, customized bootstrapping for indoor maps. This includes mapping techniques but also intermediate services which enable data collection for improving maps and offering enhanced services. We illustrate examples of customizations of the process in a visual way and argue that the bootstrapping process needs to be adapted to specific buildings and end-user needs. This process-based view to indoor mapping leads to several research questions regarding the composition and intermediate steps in such process.


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Paper Citation

in Harvard Style

Pipelidis G., Prehofer C. and Gerostathopoulos I. (2017). Adaptive Bootstrapping for Crowdsourced Indoor Maps . In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-252-3, pages 284-289. DOI: 10.5220/0006369302840289

in Bibtex Style

author={Georgios Pipelidis and Christian Prehofer and Ilias Gerostathopoulos},
title={Adaptive Bootstrapping for Crowdsourced Indoor Maps},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},

in EndNote Style

JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Adaptive Bootstrapping for Crowdsourced Indoor Maps
SN - 978-989-758-252-3
AU - Pipelidis G.
AU - Prehofer C.
AU - Gerostathopoulos I.
PY - 2017
SP - 284
EP - 289
DO - 10.5220/0006369302840289