Semantic Layering in Room Segmentation via LLMs

arXiv:2403.12920v1 Announce Type: cross
Abstract: In this paper, we introduce Semantic Layering in Room Segmentation via LLMs (SeLRoS), an advanced method for semantic room segmentation by integrating Large Language Models (LLMs) with traditional 2D map-based segmentation. Unlike previous approaches that solely focus on the geometric segmentation of indoor environments, our work enriches segmented maps with semantic data, including object identification and spatial relationships, to enhance robotic navigation. By leveraging LLMs, we provide a novel framework that interprets and organizes complex …

arxiv cs.cv cs.ro llms room segmentation semantic type via