Smartphone Indoor Localization Enhanced by Hierarchical Multi-Sensor Context Recognition
Experiments show that the proposed framework outperforms PDR and representative learned inertial odometry baselines, demonstrating that hierarchical semantics provide reliable, localization-specific correction cues.