Abstract
RF-based location tracking in industrial environment possesses many challenges due to the complex propagation condition. This paper will address some of the problems in this environment. Firstly, we evaluate the performance of RF-based tracking in a harsh environment, i.e. in a car manufacturing plant. Secondly, the research presents a comprehensive study of an algorithm that utilises Bayesian filters, leading to robust location and tracking estimation. The evaluation of the location system was conducted in three test-beds. One test-bed mimics an office environment and the second and the third an assembly hall in car manufacturing plant.
| Original language | English |
|---|---|
| Title of host publication | IFAWC 2007 - 4th International Forum on Applied Wearable Computing 2007, Proceedings |
| Editors | Otthein Herzog, Holger Kenn, Michael Lawo, Paul Lukowicz, Thomas Stiefmeier |
| Publisher | VDE Verlag GmbH |
| Pages | 83-93 |
| Number of pages | 11 |
| ISBN (Electronic) | 9783800730179 |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 4th International Forum on Applied Wearable Computing 2007, IFAWC 2007 - Tel Aviv, Israel Duration: 12 Mar 2007 → 13 Mar 2007 |
Publication series
| Name | IFAWC 2007 - 4th International Forum on Applied Wearable Computing 2007, Proceedings |
|---|
Conference
| Conference | 4th International Forum on Applied Wearable Computing 2007, IFAWC 2007 |
|---|---|
| Country/Territory | Israel |
| City | Tel Aviv |
| Period | 12/03/07 → 13/03/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Indoor Tracking
- Particle Filter
- RF-based location
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