Indoor map matching is the process of aligning or constraining estimated indoor positions to a known spatial model or floor plan, ensuring that localization outputs correspond to physically traversable regions such as rooms, corridors, and doorways rather than impossible locations like walls or structural obstacles. It matters for WiFi/CSI-based indoor positioning because raw signal-derived coordinates are often noisy or drift-prone, and anchoring them to a structured spatial representation — such as an OGC IndoorGML topology — significantly improves trajectory coherence and location accuracy. Key variants include geometric map matching, which projects positions onto the nearest valid spatial feature, and topological map matching, which constrains movement according to the connectivity graph of the indoor environment.
Source Papers
- A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches ↗ — A Standard Indoor Spatial Data Model—OGC IndoorGML and Imple