摘要
随着室内空间规模扩大与结构复杂化,人们对大型复杂室内空间的导航需求愈发强烈.室内地理信息模型语言(IndoorGML)是一个用于表示室内空间拓扑结构的标准,主要用于表达和交换室内空间导航模型,为室内空间信息交换提供框架和丰富的语义信息.大多数基于IndoorGML的研究都是围绕室内空间模型表达展开的,而基于IndoorGML的导航应用研究较少,为进一步拓展该方面的研究,本文提出基于IndoorGML模型的室内语义导航方法,构建节点关系图(node-relation graph,NRG)实现室内空间的拓扑表达和语义导航,为大型复杂空间的语义导航提供一个新的思路.
With the expansion of indoor space scale and the complexity of its structure,people's demand for navigation in large and complex indoor spaces has become increasingly strong.IndoorGML is a new standard for representing the topological structure of indoor spaces,primarily used for expressing and exchanging indoor space navigation models,providing a framework and rich semantic information for indoor space information exchange.Most research based on IndoorGML revolves around the expression of indoor space models,while research on navigation applications based on IndoorGML is relatively scarce.In order to further expand the research in this area,this paper proposes an indoor semantic navigation method based on the IndoorGML model,achieving topological expression and semantic navigation of indoor spaces,and providing a new approach for semantic navigation in large and complex spaces.
作者
傅毓
冯云飞
梁春炎
FU Yu;FENG Yunfei;LIANG Chunyan(Guangxi Institute of Geographic Information Surveying and mapping,Liuzhou 545000,China;College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541000,China)
出处
《全球定位系统》
2025年第5期69-73,共5页
Gnss World of China
