Adaptive bootstrapping for crowdsourced indoor maps

Georgios Pipelidis, Christian Prehofer, Ilias Gerostathopoulos

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationGISTAM 2017 - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management
EditorsLemonia Ragia, Robert Laurini, Jorge Gustavo Rocha
PublisherSciTePress
Pages284-289
Number of pages6
ISBN (Electronic)9789897582523
DOIs
Publication statusPublished - 1 Jan 2017
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

NameGISTAM 2017 - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management

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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