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Authors: Georgios Pipelidis ; Christian Prehofer and Ilias Gerostathopoulos

Affiliation: Technische Universität München, Germany

Keyword(s): Indoor Mapping, Crowdsourcing, Bootstrapping Process.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - GISTAM; ISBN 978-989-758-252-3; ISSN 2184-500X, SciTePress, pages 284-289. DOI: 10.5220/0006369302840289

@conference{gistam17,
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 - GISTAM},
year={2017},
pages={284-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006369302840289},
isbn={978-989-758-252-3},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Adaptive Bootstrapping for Crowdsourced Indoor Maps
SN - 978-989-758-252-3
IS - 2184-500X
AU - Pipelidis, G.
AU - Prehofer, C.
AU - Gerostathopoulos, I.
PY - 2017
SP - 284
EP - 289
DO - 10.5220/0006369302840289
PB - SciTePress