NAVI-graph: a Semantics-based Network for Indoor Pathfinding

Abstract

The conventional approaches for establishing indoor networks for pathfinding are mostly based on geometry processing. The generated networks are geometric networks that lack semantics, which have limited their use. This study proposes a new semantics-driven approach for constructing navigable indoor networks that utilizes the rich semantic information from Industry Foundation Classes (IFC) in the form of IFC-Graph. A real-world building model was used to validate the proposed approach, and the result shows that 1) the sematic-based indoor network is easier to establish from IFC-Graph; 2) the semantics-driven approach can enable semantics-driven pathfinding, which can provide more possibilities in pathfinding applications.