Abstract
This article presents a probabilistic motion model that is based on an economical graph-based indoor map representation, such that the motion of the user is constrained according to the floor plan of a building. The floor plan is modeled as a combination of links and open space polygons that are connected by nodes. In the authors’ earlier work the link transition probabilities in this graph are proportional to the total link lengths that are the total lengths of the subgraphs accessible by choosing the considered link option, and this article extends this model to include open space polygons as well. A particle filter using the extended motion model in which all particles are constrained according to the map structure is presented. Furthermore, wireless local area network and Bluetooth Low Energy positioning tests show that the proposed algorithm outperforms comparison methods especially if the measurement rate is low.
Original language | English |
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Title of host publication | 10th International Conference on Information, Communications and Signal Processing (ICICS) |
Publisher | IEEE |
Number of pages | 5 |
ISBN (Electronic) | 9781467372176 |
DOIs | |
Publication status | Published - 1 Dec 2015 |
Publication type | A4 Article in conference proceedings |
Event | International Conference on Information, Communications and Signal Processing - Duration: 1 Jan 1900 → … |
Conference
Conference | International Conference on Information, Communications and Signal Processing |
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Period | 1/01/00 → … |
Keywords
- Indoor positioning
- particle filter
- motion model
- map matching
- graph
Publication forum classification
- Publication forum level 1