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Do You Recognize That Building’s Façade?

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dc.contributor.authorLudwig, Bernd
dc.contributor.authorBienk, Stefan
dc.contributor.authorKattenbeck, Markus
dc.contributor.authorMüller, Manuel
dc.contributor.authorOhm, Christina
dc.contributor.authorEinmal, Michael
dc.contributor.authorGlaser, Thomas
dc.contributor.authorHackl, Markus
dc.contributor.authorOreskovich, Mark
dc.contributor.authorSchubart, Lea
dc.date.accessioned2018-01-08T09:16:41Z
dc.date.available2018-01-08T09:16:41Z
dc.date.issued2013
dc.description.abstractWith the computational power of modern smartphones constantly increasing, resource intensive applications are becoming feasible to an ever growing extent. In this paper, we report on a research project recently started. Its aim is to develop an application for smartphones that combines pedestrian and public transport navigation including the computation of routes consisting of pedestrian routes and public transport trips and intuitive user guidance at any time of the trip. In particular, we focus on intuitive user guidance based on (LMs) in the surroundings of the user. For this reason, we use collaborative approaches to collect LMs and data about them.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11366
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 27, No. 3
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCollaborative Landmark mining
dc.subjectNADINE
dc.subjectPedestrian navigation
dc.titleDo You Recognize That Building’s Façade?
dc.typeText/Journal Article
gi.citation.endPage246
gi.citation.startPage241

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Künstliche Intelligenz 27(3) - August 2013