Name
Abstract | ||
|---|---|---|
Indoor-Localization using mobile end-user devices such as smartphones remains a highly discussed research topic. Applications range from guidance in large structures, assistance of visually impaired or even localization and guidance in rescue operations. Current approaches are often based on Radio-Frequency strength localization, which show insufficient precision and robustness. In this paper we investigate a magneto-based approach using rotation-invariant features compared with a pre-recorded grid-based map. Furthermore, we show, how this approach can be combined with relative localization using step recognition from inertial measurements. We test and evaluate both systems in simulation as well as real-world tests. We show, that a sub-meter precision localization accuracy can be reached using our magneto-intertial approach. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IPIN.2018.8533842 | 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN) |
Keywords | Field | DocType |
mobile end-user devices,smartphones,visually impaired assistance,radio-frequency strength localization,prerecorded grid-based map,submeter precision localization accuracy,step recognition,inertial indoor-Localization,rotation-invariant magnetic features,magneto-intertial approach,inertial measurements,relative localization,magneto-based approach,rescue operations | Inertial frame of reference,Magneto,Computer vision,Magnetometer,Electronic engineering,Robustness (computer science),Invariant (mathematics),Artificial intelligence,Engineering,Grid | Conference |
ISSN | ISBN | Citations |
2162-7347 | 978-1-5386-5636-5 | 1 |
PageRank | References | Authors |
0.35 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantin Klipp | 1 | 1 | 0.35 |
| Helge Rose | 2 | 1 | 0.35 |
| Jonas Willaredt | 3 | 9 | 0.94 |
| Oliver Sawade | 4 | 28 | 5.84 |
| Ilja Radusch | 5 | 244 | 37.15 |