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 proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publicationGeographical Information Systems Theory, Applications and Management - 3rd International Conference, GISTAM 2017, Revised Selected Papers
EditorsRobert Laurini, Jorge Gustavo Rocha, Lemonia Ragia
PublisherSpringer Verlag
Pages70-84
Number of pages15
ISBN (Print)9783030060091
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event3rd International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2017 - Porto, Portugal
Duration: 27 Apr 201728 Apr 2017

Publication series

NameCommunications in Computer and Information Science
Volume936
ISSN (Print)1865-0929

Conference

Conference3rd International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2017
CountryPortugal
CityPorto
Period27/04/1728/04/17

Keywords

  • Bootstrapping process
  • Crowdsourcing
  • Indoor mapping

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