ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 417-423, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
14 Sep 2017
M. Xu1,2,3,4, S. Wei1,2,3,4, S. Zlatanova5, and R. Zhang1,2,3,4 1School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China
2Beijing Key Laboratory For Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, China
3Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing, China
4Engineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Beijing, China
53D Geoinformation, Department of Urbanism, Faculty of Architecture and The Built Environment, Delft University of Technology, Delft, the Netherlands
Keywords: BIM, IFC, Obstacles, Indoor Navigation, Space Subdivision, Path Planning Abstract. At present, 87 % of people’s activities are in indoor environment; indoor navigation has become a research issue. As the building structures for people’s daily life are more and more complex, many obstacles influence humans’ moving. Therefore it is essential to provide an accurate and efficient indoor path planning. Nowadays there are many challenges and problems in indoor navigation. Most existing path planning approaches are based on 2D plans, pay more attention to the geometric configuration of indoor space, often ignore rich semantic information of building components, and mostly consider simple indoor layout without taking into account the furniture. Addressing the above shortcomings, this paper uses BIM (IFC) as the input data and concentrates on indoor navigation considering obstacles in the multi-floor buildings. After geometric and semantic information are extracted, 2D and 3D space subdivision methods are adopted to build the indoor navigation network and to realize a path planning that avoids obstacles. The 3D space subdivision is based on triangular prism. The two approaches are verified by the experiments.
Conference paper (PDF, 2120 KB)

Citation: Xu, M., Wei, S., Zlatanova, S., and Zhang, R.: BIM-BASED INDOOR PATH PLANNING CONSIDERING OBSTACLES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 417-423,, 2017.

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