Self-Supervised Indoor Tracking With Radio Error Map Generation for Zero-Shot Adaptation
Accurate indoor localization and tracking are foundational to next-generation location-based services. Although data-driven techniques offer strong modeling capabilities in complex indoor environments, they typically require labeled data for training and lack generalizability to unseen environments. In this letter, we...