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Applied Geomatics

, Volume 11, Issue 4, pp 413–427 | Cite as

An indoor navigation model and its network extraction

  • Filippo Mortari
  • Eliseo ClementiniEmail author
  • Sisi Zlatanova
  • Liu Liu
Original Paper
  • 131 Downloads

Abstract

We propose a navigation model for indoor environments that combines a 3D geometric modeling of buildings with connection properties of spaces and semantic elements such as openings and installations. The model is an extension of the IndoorGML standard navigation module with a twofold benefit: the extension facilitated the data import from the international standard CityGML and introduced the semantics of various fixtures in indoor space of buildings making the navigation model more suitable for human needs. Several experiments have been conducted by extracting networks from CityGML data and performing a comparison with other network construction techniques. The second contribution of the paper is an algorithm for the automatic extraction of the navigation network. Such an algorithm is a hybrid solution between medial axis approaches and visibility graph approaches. Normally, medial axes approaches are a good representation of human navigation in narrow corridors, especially to avoid obstacles, but introduce distortions in open space. On the other hand, visibility approaches work better in open spaces. In our extraction technique, the resulting network takes advantages of both approaches and better mimics human beings’ navigation in indoor environments.

Keywords

Indoor navigation Networks Geometric modeling Medial axis Visibility graph 

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Copyright information

© Società Italiana di Fotogrammetria e Topografia (SIFET) 2019

Authors and Affiliations

  1. 1.Department of Industrial and Information Engineering and EconomicsUniversity of L’AquilaL’AquilaItaly
  2. 2.Faculty of the Built EnvironmentUniversity of New South WalesKensingtonAustralia
  3. 3.Tongji UniversityShanghaiChina

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