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Erschienen in:
GIS Systems on the Pipelines Thermographic Aerial Inspection Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Bootstrapping the Dynamic Generation of Indoor Maps with Crowdsourced Smartphone Sensor Data

verfasst von : Georgios Pipelidis, Christian Prehofer, Ilias Gerostathopoulos

Erschienen in: Geographical Information Systems Theory, Applications and Management

Verlag: Springer International Publishing

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Abstract

Although there is a considerable progress in mapping the indoor places, most of the existing techniques are either expensive or difficult to apply. In this paper, we articulate our view on the future of indoor mapping, which is based on customized, crowdsourced and scalable approaches. On the basis of this approach, we discuss the research challenges that we envision to face in this world of customized bootstrapping and diverse techniques and services. We focus our interest in the combination of multiple of indoor mapping generation techniques and discuss challenges and various indoor mapping techniques. We introduce our adaptive method for bootstrapping the procedure of indoor mapping in multiple ways through intermediate services. Those emerged services enable the obtaining of useful data for this procedure, while they increase the quality of those data. We discuss the necessary components for such approach and we give an example of a bootstrapping procedure.

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Vorheriges Kapitel Implications of Data Density and Length of Collection Period for Population Estimations Using Social Media Data
Nächstes Kapitel Soft Image Segmentation: On the Clustering of Irregular, Weighted, Multivariate Marked Networks
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Metadaten
Titel
Bootstrapping the Dynamic Generation of Indoor Maps with Crowdsourced Smartphone Sensor Data
verfasst von
Georgios Pipelidis
Christian Prehofer
Ilias Gerostathopoulos
Copyright-Jahr
2019
Buch
Geographical Information Systems Theory, Applications and Management

Print ISBN: 978-3-030-06009-1

Electronic ISBN: 978-3-030-06010-7

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-06010-7_5

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