Roth, Michael ; Winter, Hanno (2020)
An Open Data Set for Rail Vehicle Positioning Experiments.
23rd International Conference on Intelligent Transportation Systems. virtual Conference (20.-23.09.2020)
doi: 10.1109/ITSC45102.2020.9294594
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
This paper describes an openly available data set for rail vehicle positioning experiments. The data were collected using the DLR research vehicle RailDriVE on a segment of the harbor railway of Braunschweig, Germany, in February 2019. Several sensors of the RailDriVE equipment and an additional self-sufficient system provided by Technische Universität Darmstadt were employed, including two GNSS receivers, two inertial measurement units (IMU), and several speed and distance sensors (radar, optical, odometer) from the rail domain. Front-facing camera data has been included for documentation purposes. In order to simplify its use, some pre-processing steps were applied to the data, mainly to have common time and coordinate frames. Furthermore, example and reference positioning solutions have been included. The data set is described in detail, with information about the individual sensors and the data set structure (with parameters, raw, pre-processed, and reference data). Our work should be seen as a step towards more open and data-driven research in the rail domain, where experiments are difficult and costly. It is our hope to provide a solid basis for many different research efforts that provide the required technological advances for the rail sector.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Roth, Michael ; Winter, Hanno |
| Art des Eintrags: | Bibliographie |
| Titel: | An Open Data Set for Rail Vehicle Positioning Experiments |
| Sprache: | Englisch |
| Publikationsjahr: | 24 Dezember 2020 |
| Verlag: | IEEE |
| Buchtitel: | 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) |
| Veranstaltungstitel: | 23rd International Conference on Intelligent Transportation Systems |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 20.-23.09.2020 |
| DOI: | 10.1109/ITSC45102.2020.9294594 |
| Kurzbeschreibung (Abstract): | This paper describes an openly available data set for rail vehicle positioning experiments. The data were collected using the DLR research vehicle RailDriVE on a segment of the harbor railway of Braunschweig, Germany, in February 2019. Several sensors of the RailDriVE equipment and an additional self-sufficient system provided by Technische Universität Darmstadt were employed, including two GNSS receivers, two inertial measurement units (IMU), and several speed and distance sensors (radar, optical, odometer) from the rail domain. Front-facing camera data has been included for documentation purposes. In order to simplify its use, some pre-processing steps were applied to the data, mainly to have common time and coordinate frames. Furthermore, example and reference positioning solutions have been included. The data set is described in detail, with information about the individual sensors and the data set structure (with parameters, raw, pre-processed, and reference data). Our work should be seen as a step towards more open and data-driven research in the rail domain, where experiments are difficult and costly. It is our hope to provide a solid basis for many different research efforts that provide the required technological advances for the rail sector. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Automatisierungstechnik und Mechatronik > Regelungsmethoden und Robotik (ab 01.08.2022 umbenannt in Regelungsmethoden und Intelligente Systeme) |
| Hinterlegungsdatum: | 18 Feb 2021 14:46 |
| Letzte Änderung: | 03 Apr 2023 09:56 |
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