Rail Vehicle Positioning Data Set: Lucy, March 2019
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Date
2020-11-27
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**Key facts**
* **Fields of application:**
railway positioning, sensor fusion, sensor models
* **Available data:**
1x GNSS, 1x IMU
* **Rail-track characteristics:**
≈870 km (on convetional lines)
* **Available reference data:**
Open GNSS/IMU EKF-fusion solution (loosely coupled)
* **Structure:**
This data set follows the data sharing principles of the LRT (localization
reference train) initiative that are available at [lrt-
initiative.org](https://lrt-
initiative.org/2020_05_28_lrtdatasetguidelines_v1_2/).
**About**
This data set can be used for rail vehicle positioning experiments. It
contains measurements of an 6-DOF IMU and a GNSS receiver. The senors were
mounted on a regular rail vehicle during a trip from Chemnitz (Germany,
Saxony) to Neuffen (Germany, Baden-Württemberg) and back.
The recorded data have been pre-processed to have common time and coordinate
frames. Furthermore, a simple loosely coupled GNSS/IMU positioning solution is
provided which can be used as a baseline for more advanced fusion approaches.
All MATLAB scripts used to process the raw data and to calculate the GNSS/IMU
positioning solution are provided within the data set.
The data can be used as a starting point for own work. Special features of
this data set are its overall length (870km, 16hrs) with continuous journey
sections of over 1h and its test-track (conventional line).
**Similar data sets**
* <https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2292.2>
* <https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2530>
**Scripts**
* <https://github.com/tud-rmr/railway_dataset_nt_20190311>
**BibTex**
@Misc{WinterRailDataSetMarch2019,
title = {Rail Vehicle Positioning Data Set: Lucy, March 2019},
author = {Winter, Hanno},
doi = {10.25534/tudatalib-359},
publisher = {Technische Universität Darmstadt},
year = {2020},
}
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Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International