Description

IndoorGML is the OGC standard schema for representing indoor space — cells, doors, navigable graphs, and multi-floor connectivity — in an interoperable XML form. It matters to this thesis because the GIS-mapped monitored area in the testbed needs a vendor-neutral indoor representation against which BLE trajectories, CSI sensor positions, and crowd-flow vectors can be aligned, and because IndoorGML is the de-facto reference for indoor spatial models in the wireless-sensing literature.

When it's used

  • Indoor space modelling for crowd-flow / evacuation simulation
  • Mapping CSI / BLE infrastructure onto navigable indoor topology
  • Bridging vendor-specific BIM models to standard navigation graphs

Limitations

  • Adoption is uneven — many systems still rely on bespoke JSON / GeoJSON
  • 3D / multi-floor extensions add modelling complexity
  • Tooling lags behind CityGML / BIM ecosystems

Source Papers

  • guo2020_267f — IndoorGML in indoor-positioning context
  • ficara2024_f89b — IndoorGML in indoor crowd modelling

6 vault papers use this method

Titles and DOIs only — no abstracts, no analyses.

  • A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches 2017 DOI ↗
  • Spatial subdivision of complex indoor environments for 3D indoor navigation 2018 DOI ↗
  • A Local 3D Voronoi-Based Optimization Method for Sensor Network Deployment in Complex Indoor Environments 2021 DOI ↗
  • TOWARDS INDOORGML 2.0: UPDATES AND CASE STUDY ILLUSTRATIONS 2020 DOI ↗
  • A Person-to-Person and Person-to-Place COVID-19 Contact Tracing System Based on OGC IndoorGML 2020 DOI ↗
  • INTEGRATION OF IOT SENSORS TO 3D INDOOR MODELS WITH INDOORGML 2020 DOI ↗