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An Open Data Set for Rail Vehicle Positioning Experiments

Roth, Michael ; Winter, Hanno (2022)
An Open Data Set for Rail Vehicle Positioning Experiments.
23rd International Conference on Intelligent Transportation Systems (ITSC). Rhodes, Greece (20.-23.09.2020)
doi: 10.26083/tuprints-00020408
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint

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: 2022
Autor(en): Roth, Michael ; Winter, Hanno
Art des Eintrags: Zweitveröffentlichung
Titel: An Open Data Set for Rail Vehicle Positioning Experiments
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Verlag: IEEE
Kollation: 7 ungezählte Seiten
Veranstaltungstitel: 23rd International Conference on Intelligent Transportation Systems (ITSC)
Veranstaltungsort: Rhodes, Greece
Veranstaltungsdatum: 20.-23.09.2020
DOI: 10.26083/tuprints-00020408
URL / URN: https://tuprints.ulb.tu-darmstadt.de/20408
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Herkunft: Zweitveröffentlichungsservice
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.

Status: Postprint
URN: urn:nbn:de:tuda-tuprints-204084
Zusätzliche Informationen:

Keywords: Sensors, Rails, Global navigation satellite system, Optical sensors, Receivers, Sensor systems, Radar tracking

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
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: 01 Feb 2022 13:10
Letzte Änderung: 03 Feb 2022 13:40
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