Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data

Georgios Pipelidis; Christian Prehofer; Ilias Gerostathopoulos

doi:10.1007/978-3-030-06010-7_5

Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data

Georgios Pipelidis^*, Christian Prehofer, Ilias Gerostathopoulos

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Geographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers
Editors	Robert Laurini, Jorge Gustavo Rocha, Lemonia Ragia
Publisher	Springer Verlag
Pages	70-84
Number of pages	15
ISBN (Print)	9783030060091
DOIs	https://doi.org/10.1007/978-3-030-06010-7_5
Publication status	Published - 1 Jan 2019
Externally published	Yes
Event	3rd International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2017 - Porto, Portugal Duration: 27 Apr 2017 → 28 Apr 2017

Publication series

Name	Communications in Computer and Information Science
Volume	936
ISSN (Print)	1865-0929

Conference

Conference	3rd International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2017
Country/Territory	Portugal
City	Porto
Period	27/04/17 → 28/04/17

Funding

Acknowledgments. This work is part of the TUM Living Lab Connected Mobility project and has been funded by the Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie.

Funders	Funder number
Technische Universität München
Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie

Keywords

Bootstrapping process
Crowdsourcing
Indoor mapping

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10.1007/978-3-030-06010-7_5

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Pipelidis, G., Prehofer, C., & Gerostathopoulos, I. (2019). Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data. In R. Laurini, J. G. Rocha, & L. Ragia (Eds.), Geographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers (pp. 70-84). (Communications in Computer and Information Science; Vol. 936). Springer Verlag. https://doi.org/10.1007/978-3-030-06010-7_5

Pipelidis, Georgios ; Prehofer, Christian ; Gerostathopoulos, Ilias. / Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data. Geographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers. editor / Robert Laurini ; Jorge Gustavo Rocha ; Lemonia Ragia. Springer Verlag, 2019. pp. 70-84 (Communications in Computer and Information Science).

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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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Pipelidis, G, Prehofer, C & Gerostathopoulos, I 2019, Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data. in R Laurini, JG Rocha & L Ragia (eds), Geographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers. Communications in Computer and Information Science, vol. 936, Springer Verlag, pp. 70-84, 3rd International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2017, Porto, Portugal, 27/04/17. https://doi.org/10.1007/978-3-030-06010-7_5

Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data. / Pipelidis, Georgios; Prehofer, Christian; Gerostathopoulos, Ilias.
Geographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers. ed. / Robert Laurini; Jorge Gustavo Rocha; Lemonia Ragia. Springer Verlag, 2019. p. 70-84 (Communications in Computer and Information Science; Vol. 936).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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N2 - 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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Pipelidis G, Prehofer C, Gerostathopoulos I. Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data. In Laurini R, Rocha JG, Ragia L, editors, Geographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers. Springer Verlag. 2019. p. 70-84. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-06010-7_5

Bootstrapping the dynamic generation of indoor maps with crowdsourced smartphone sensor data

Abstract

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Keywords

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