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Approximated environment features with application to trajectory annotation

  • Ludwig-Maximilians-Universität München (LMU)

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

4 Zitate (Scopus)

Abstract

Indoor location-based services is an ever emerging field of research and application. In particular indoor navigation, i.e. positioning and route planning in freely walkable space, gets much attention. The philosophy of this paper is to incorporate isovists as a numerical representation of the local environment to enable new types of indoor LBS. This paper has got two main contributions. First, we define discrete isovists as an approximation of exact isovists using a simple ray casting approach. Second, we define, create, and use isovist feature cubes for semantic evaluations of floor plans as well as trajectory annotation.

OriginalspracheEnglisch
Titel2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781509042401
DOIs
PublikationsstatusVeröffentlicht - 9 Feb. 2017
Extern publiziertJa
Veranstaltung2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 - Athens, Griechenland
Dauer: 6 Dez. 20169 Dez. 2016

Publikationsreihe

Name2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016

Konferenz

Konferenz2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016
Land/GebietGriechenland
OrtAthens
Zeitraum6/12/169/12/16

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