ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-IV-2-W4-417-2017 BIM-BASED INDOOR PATH PLANNING CONSIDERING OBSTACLES Xu M. 1 2 3 4 Wei S. 1 2 3 4 Zlatanova S. https://orcid.org/0000-0002-8766-0487 5 Zhang R. 1 2 3 4 School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China Beijing Key Laboratory For Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, China Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing, China Engineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Beijing, China 3D Geoinformation, Department of Urbanism, Faculty of Architecture and The Built Environment, Delft University of Technology, Delft, the Netherlands 14 09 2017 IV-2/W4 417 423 Copyright: © 2017 M. Xu et al. 2017 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/IV-2-W4/417/2017/isprs-annals-IV-2-W4-417-2017.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/IV-2-W4/417/2017/isprs-annals-IV-2-W4-417-2017.pdf

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.