GIScience Research Group, Institute of Geography, Heidelberg University, Im Neuenheimer Feld 368, 69120 Heidelberg, Germany.
School of Surveying and Urban Spatial Information, Henan University of Urban Construction, Pingdingshan 467036, China.
Sensors (Basel). 2018 Jun 30;18(7):2100. doi: 10.3390/s18072100.
With a rapidly-growing volume of volunteered geographic information (VGI), there is an increasing trend towards using VGI to provide location-based services. In this study, we investigate using OpenStreetMap data to integrate indoor and outdoor route planning for pedestrians. To support indoor and outdoor route planning, in this paper, we focus on the connections inside buildings and propose a data model, which uses OSM primitives (nodes, ways and relations) and tags to capture horizontal and vertical indoor components, as well as the connection between indoor and outdoor environments. A set of new approaches is developed to support indoor modeling and mapping. Based on the proposed data model, we present a workflow that enables automatic generation of a routing graph and provide an algorithm to calculate integrated indoor-outdoor routes. We applied our data model to a set of test cases. The application results demonstrate the capability of our data model in modeling built environments and its feasibility for the integration of indoor and outdoor navigation.
随着志愿地理信息(VGI)数量的快速增长,越来越倾向于使用 VGI 来提供基于位置的服务。在本研究中,我们研究了使用 OpenStreetMap 数据来整合行人的室内和室外路线规划。为了支持室内和室外路线规划,本文专注于建筑物内部的连接,并提出了一个数据模型,该模型使用 OSM 基元(节点、路径和关系)和标签来捕获水平和垂直的室内组件,以及室内和室外环境之间的连接。开发了一组新方法来支持室内建模和制图。基于所提出的数据模型,我们展示了一个工作流程,该流程能够自动生成路由图,并提供一种算法来计算集成的室内外路线。我们将数据模型应用于一组测试用例。应用结果表明了我们的数据模型在建模建筑物环境方面的能力,以及在室内外导航集成方面的可行性。