Confidence-gated adaptive geospatial-cell candidate generation for Wi-Fi fingerprint indoor localization
Weighted KNN over a full radio map is slow and brittle when signal strength drifts. CG-AGC-WKNN narrows the search to adaptive spatial cells and falls back to global WKNN only when the cell evidence is weak.
- Dataset
- UJIIndoorLoc (multi-building, multi-floor)
- Method
- Adaptive cells + local WKNN + confidence gate
- Metrics
- Mean, median and P90 error; candidate reduction
- Next
- Adaptive cell expansion, live indoor testbed


