Abstract
In this paper, IMU and magnetometer models that enable pedestrian dead-reckoning without step detection or zero velocity updates on hand-held devices such as smartphones are proposed. The models are suitable for usage with any standard Bayesian filtering or smoothing technique and thus, do not require customized estimators. The method is evaluated in a real scenario using a dataset of approximately three minutes with a trajectory length of 302m. It is found that the overall shape of the estimated trajectory matches well with the GPS reference trajectory with an estimated trajectory length of 293 m. Some problems in the heading estimation are observed.
Original language | English |
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Title of host publication | 2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016 |
Publisher | IEEE |
ISBN (Electronic) | 9781509024254 |
DOIs | |
Publication status | Published - 14 Nov 2016 |
MoE publication type | A4 Conference publication |
Event | International Conference on Indoor Positioning and Indoor Navigation - Madrid, Spain Duration: 4 Oct 2016 → 7 Oct 2016 Conference number: 7 |
Publication series
Name | International Conference on Indoor Positioning and Indoor Navigation |
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Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISSN (Print) | 2162-7347 |
ISSN (Electronic) | 2471-917X |
Conference
Conference | International Conference on Indoor Positioning and Indoor Navigation |
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Abbreviated title | IPIN 2016 |
Country/Territory | Spain |
City | Madrid |
Period | 04/10/2016 → 07/10/2016 |