Title
Adaptive Bootstrapping For Crowdsourced Indoor Maps
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.
Year
DOI
Venue
2017
10.5220/0006369302840289
GISTAM: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT
Keywords
DocType
Citations 
Indoor Mapping, Crowdsourcing, Bootstrapping Process
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Georgios Pipelidis100.68
Christian Prehofer293877.43
Ilias Gerostathopoulos325426.55