Print Email Facebook Twitter Leveraging spatial model to improve indoor tracking Title Leveraging spatial model to improve indoor tracking Author Liu, L. Xu, W. Penard, W. Zlatanova, S. Faculty Architecture and The Built Environment Department Urbanism Date 2015-05-21 Abstract 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. Subject spatial modelindoor trackingsemanticstopology To reference this document use: http://resolver.tudelft.nl/uuid:5761199c-d383-4252-b06b-9248fadebccf Publisher International Society for Photogrammetry and Remote Sensing (ISPRS) ISSN 1682-1750 Source https://doi.org/10.5194/isprsarchives-XL-4-W5-75-2015 Source International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40 (4/W5), 2015; Indoor-Outdoor Seamless Modelling, Mapping and Navigation, 21–22 May 2015, Tokyo, Japan Part of collection Institutional Repository Document type conference paper Rights © 2015 The Author(s)This work is distributed under the Creative Commons Attribution 3.0 License. Files PDF 318481.pdf 1.66 MB Close viewer /islandora/object/uuid:5761199c-d383-4252-b06b-9248fadebccf/datastream/OBJ/view