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.
Original language | English |
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Title of host publication | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Publisher | ISPRS |
Pages | 417-423 |
Volume | IV-2/W4 |
DOIs | |
Publication status | Published - 2017 |
Event | ISPRS Geospatial Week 2017 - Wuhan, China Duration: 18 Sept 2017 → 22 Sept 2017 http://www.isprs.org/documents/geoweek.aspx |
Conference
Conference | ISPRS Geospatial Week 2017 |
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Country/Territory | China |
City | Wuhan |
Period | 18/09/17 → 22/09/17 |
Internet address |
Keywords
- BIM
- IFC
- Indoor Navigation
- Obstacles
- Path Planning
- Space Subdivision