Brief

Researchers have introduced OmniLoc, a novel foundation model designed for anchor-free localization within diverse indoor environments using wireless measurements. This model addresses the challenges posed by varying building geometries and signal heterogeneities that hinder existing methods. OmniLoc employs a unified input tokenization, a geometry-aware Transformer for feature extraction, and a location estimation module that leverages geometric embeddings for consistent predictions. Evaluations on in-house and public datasets demonstrate OmniLoc's superior performance and generalization capabilities compared to current approaches. AI