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Generating an Indoor space routing graph using semantic-geometric method
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Javad Sadidi *   , Zahra Joudaki , Hani Rezayan |
| Kharazmi University |
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Abstract: (8965 Views) |
| The development of indoor Location-Based Services faces various challenges that one of which is the method of generating indoor routing graph. Due to the weaknesses of purely geometric methods for generating indoor routing graphs, a semantic-geometric method is proposed to cover the existing gaps in combining the semantic and geometric methods in this study. The proposed method uses the CityGML data model, which is actually a semantic modeling of building space. The output of the method is also presented with several test scenarios, and their results. Using semantic information and semantic graphs is in fact a good strategy for purely geometric methods, and according to the results, the proposed semantic-geometric method for producing indoor routing graphs seems to be efficient. |
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| Keywords: CityGML, routing, indoor building space, semantic graph. |
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Full-Text [PDF 1457 kb]
(2761 Downloads)
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Type of Study: Research |
Subject:
GIS
Received: 2020/03/8 | Accepted: 2021/03/3 | Published: 2021/04/20
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