Sanghyun Kim

Instance-enriched semantic maps for Visual Language Navigation

Instance-Enriched Semantic Maps is proposed, a unified framework with three key contributions: instance-level two-and-a-half-dimensional rich information mapping, storage-efficient semantic representation that achieves approximately 96% reduction compared to three-dimensional scene-graph approaches while preserving sufficient spatial information for navigation, and robust query processing via LLM-based target selection.