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dc.contributor.authorWinter, Hanno
dc.description<p><strong>Key facts</strong></p> <ul> <li><strong>Fields of application:</strong><br /> railway positioning, sensor fusion, sensor models</li> <li><strong>Available data:</strong><br /> 2x GNSS, 1x IMU</li> <li><strong>Rail-track characteristics:</strong><br /> &asymp;120 km on conventional and secondary line (tight curves, steep slopes, forested embankment)</li> <li><strong>Available reference data:</strong><br /> Open GNSS/IMU EKF-fusion solution (loosely coupled), high precision 3D track-map</li> <li><strong>Structure:</strong><br /> This data set follows the data sharing principles of the LRT (localization reference train) initiative that are available at <a href=""></a>.</li> </ul> <p><strong>About</strong></p> <p>This data set can be used for rail vehicle positioning experiments. It contains measurements of an 6-DOF IMU and two GNSS receivers. The senors were mounted on a regular rail vehicle during a trip from Chemnitz (Germany, Saxony) to Schwarzenberg (Germany, Saxony) and back.</p> <p>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.</p> <p>All MATLAB scripts used to process the raw data and to calculate the GNSS/IMU positioning solution are provided within the data set. </p> <p>The data can be used as a starting point for own work. Special features of this data set are its covered terrain (tight curves, steep slopes, forest embankment), its test-track (often used as test-track for new railway equipment) and the availability of a high precision 3D track-map.</p> <p><strong>Similar data sets</strong></p> <ul> <li><a href="" target="_blank"></a></li> <li><a href="" target="_blank"></a></li> </ul> <p><strong>Scripts</strong></p> <ul> <li><a href="" target="_blank"></a></li> </ul> <style type="text/css"> <!-- .rvpds_tab { margin-left: 40px; } --> </style> <p><strong>BibTex</strong></p> <p>@Misc{WinterRailDataSetOctober2018,<br/> <span class="rvpds_tab">title = {Rail Vehicle Positioning Data Set: Lucy, October 2018},</span><br/> <span class="rvpds_tab">author = {Winter, Hanno},</span><br/> <span class="rvpds_tab">doi = {10.25534/tudatalib-360},</span><br/> <span class="rvpds_tab">publisher = {Technische Universität Darmstadt},</span><br/> <span class="rvpds_tab">year = {2020},</span><br/> } </p>en_US
dc.rightsCreative Commons Attribution 4.0
dc.subjectData Seten_US
dc.subjectTrack Mapen_US
dc.subjectSensor Fusionen_US
dc.subject.classification407-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr
dc.titleRail Vehicle Positioning Data Set: Lucy, October 2018en_US
dc.description.versioninitial versionen_US
tud.history.classificationVersion=2016-2020;407-04 Verkehrs- und Transportsysteme, Logistik, Intelligenter und automatisierter Verkehr;

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Creative Commons Attribution 4.0
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