LEVERAGING SPATIAL MODEL TO IMPROVE INDOOR TRACKING
In this paper, we leverage spatial model to process indoor localization results and then improve the track consisting of measured locations. We elaborate different parts of spatial model such as geometry, topology and semantics, and then present how they contribute to the processing of indoor tracks...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W5/75/2015/isprsarchives-XL-4-W5-75-2015.pdf |
| Summary: | In this paper, we leverage spatial model to process indoor localization results and then improve the track consisting of measured
locations. We elaborate different parts of spatial model such as geometry, topology and semantics, and then present how they contribute
to the processing of indoor tracks. The initial results of our experiment reveal that spatial model can support us to overcome problems
such as tracks intersecting with obstacles and unstable shifts between two location measurements. In the future, we will investigate
more exceptions of indoor tracking results and then develop additional spatial methods to reduce errors of indoor tracks. |
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| ISSN: | 1682-1750 2194-9034 |