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An Open Data Set for Rail Vehicle Positioning Experiments

Roth, Michael Helmut und Winter, Hanno (2020) An Open Data Set for Rail Vehicle Positioning Experiments. In: 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020. 23rd IEEE International Conference on Intelligent Transportation Systems, 2020-09-20 - 2020-09-23, Virtual Conference. doi: 10.1109/ITSC45102.2020.9294594. ISBN 978-172814149-7.

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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/136522/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:An Open Data Set for Rail Vehicle Positioning Experiments
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Roth, Michael HelmutM.Roth (at) dlr.dehttps://orcid.org/0000-0002-4812-346XNICHT SPEZIFIZIERT
Winter, Hannohanno.winter (at) rmr.tu-darmstadt.dehttps://orcid.org/0000-0002-0429-1787NICHT SPEZIFIZIERT
Datum:September 2020
Erschienen in:23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1109/ITSC45102.2020.9294594
ISBN:978-172814149-7
Status:veröffentlicht
Stichwörter:Positioning, localization, GNSS, IMU, radar, sensor fusion, RailDriVE, open data
Veranstaltungstitel:23rd IEEE International Conference on Intelligent Transportation Systems
Veranstaltungsort:Virtual Conference
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:20 September 2020
Veranstaltungsende:23 September 2020
Veranstalter :IEEE Intelligent Transportation Systems Society
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Schienenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V SC Schienenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - Digitalisierung und Automatisierung des Bahnsystems (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Datenerfassung und Informationsgewinnung
Institut für Verkehrssystemtechnik
Hinterlegt von: Roth, Michael
Hinterlegt am:08 Okt 2020 11:24
Letzte Änderung:24 Apr 2024 20:38

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