Heirich, Oliver und Siebler, Benjamin (2017) Onboard Train Localization with Track Signatures: Towards GNSS Redundancy. In: Proceedings of 30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017. ION GNSS+ 2017, 2017-09-25 - 2017-09-29, Portland OR, USA. doi: 10.33012/2017.15312.
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Offizielle URL: https://www.ion.org/gnss/
Kurzfassung
Future railway applications, such as train-side collision avoidance, virtual coupling or autonomous train driving demand reliable and accurate train localization. We focus on exclusive onboard train localization without additional way-side infrastructure. Common approaches for onboard train localization are based on measurements of a global satellite navigation system (GNSS). Well-known methods for improved reliability and accuracy are the combination with inertial navigation systems (INS) or dead reckoning. However, these approaches show an unbounded growth of an error for longer GNSS outages. Reliable train localization requires a long-term stability with bounded errors in long tunnels, at underground stations or in long stretches of dense forests. This paper presents two methods as well as a new system concept for onboard train localization with GNSS redundancy and long-term stability. The first method is signature based train localization approach from independent IMU and magnetometer measurements. The second method introduces an independent speed estimation approach without a wheel speed sensor nor a GNSS. A track signature is considered here as a signal of a track feature which is sampled over the 1-D positions of a track. It is possible to estimate a location from a comparison of the latest measured signatures and reference signatures from a map. This paper contains further an analysis of the signatures on straight tracks, parallel tracks, a switch, and a curve. The used signatures comprise eight signatures from magnetic, curvatures, attitude and vibration. All signatures use recorded data from real train runs of a regional train.
elib-URL des Eintrags: | https://elib.dlr.de/112282/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Onboard Train Localization with Track Signatures: Towards GNSS Redundancy | ||||||||||||
Autoren: |
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Datum: | 25 September 2017 | ||||||||||||
Erschienen in: | Proceedings of 30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017 | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Ja | ||||||||||||
In ISI Web of Science: | Ja | ||||||||||||
DOI: | 10.33012/2017.15312 | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Railway Track, Signatures, Localization, Magnetic, Vibration | ||||||||||||
Veranstaltungstitel: | ION GNSS+ 2017 | ||||||||||||
Veranstaltungsort: | Portland OR, USA | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 25 September 2017 | ||||||||||||
Veranstaltungsende: | 29 September 2017 | ||||||||||||
Veranstalter : | The Institute of Navigation, Satellite Division | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Verkehr | ||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - TrackScan (alt), V - Next Generation Train III (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nachrichtensysteme | ||||||||||||
Hinterlegt von: | Heirich, Dr.-Ing. Oliver | ||||||||||||
Hinterlegt am: | 17 Okt 2017 09:19 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:16 |
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