Ming Huang

Few-Sample GNSS Environment Recognition via LLM-Based Physical-Semantic Distillation and Test-Time Adaptation

Global Navigation Satellite System (GNSS) environment recognition is important for enhancing positioning reliability and context awareness in complex urban and natural scenes. However, existing methods predominantly rely on signal features and necessitate extensive labeled datasets, compromising their robustness in lab...