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RailDriVE February 2019 - Data Set for Rail Vehicle Positioning Experiments

Winter, Hanno und Roth, Michael Helmut (2020) RailDriVE February 2019 - Data Set for Rail Vehicle Positioning Experiments. [sonstige Veröffentlichung]

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Kurzfassung

We provide a data set that can be used for various rail vehicle positioning experiments. The data were collected using the German Aerospace Center (DLR) research vehicle RailDriVE on a segment of the Braunschweig harbor railway in February 2019. Several sensors of the RailDriVE equipment and an additional self-sufficient system provided by Technische Universität Darmstadt (TU Darmstadt) were employed, including two GNSS receivers, two inertial measurement units (IMU), and several speed and distance sensors (radar, optical, odometer). 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 as well as a track map have been included. The data can be used as a starting point for research work or student theses. Novel and established algorithms for many different sub-problems can be tested on the data, in order to facilitate their comparison and make results and insights more accessible. For reference to the data set in your research, please cite the companion paper: M. Roth and H. Winter, "An Open Data Set for Rail Vehicle Positioning Experiments," 23rd International Conference on Intelligent Transportation Systems (ITSC), Sep. 2020

elib-URL des Eintrags:https://elib.dlr.de/136525/
Dokumentart:sonstige Veröffentlichung
Titel:RailDriVE February 2019 - Data Set for Rail Vehicle Positioning Experiments
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Winter, Hannohanno.winter (at) rmr.tu-darmstadt.dehttps://orcid.org/0000-0002-0429-1787NICHT SPEZIFIZIERT
Roth, Michael HelmutM.Roth (at) dlr.dehttps://orcid.org/0000-0002-4812-346XNICHT SPEZIFIZIERT
Datum:2020
Referierte Publikation:Nein
Open Access:Nein
DOI:10.25534/tudatalib-166.2
Status:veröffentlicht
Stichwörter:Positioning, localization, GNSS, IMU, radar, sensor fusion, RailDriVE, open data
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 11:27
Letzte Änderung:20 Jun 2021 15:54

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