Generating an Indoor space routing graph using semantic-geometric method

نویسندگان

چکیده مقاله:

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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عنوان ژورنال

دوره 8  شماره None

صفحات  69- 80

تاریخ انتشار 2021-03

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