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Generating Compact Geometric Track-Maps for Train Positioning Applications

Winter, Hanno ; Luthardt, Stefan ; Willert, Volker ; Adamy, Jürgen (2022)
Generating Compact Geometric Track-Maps for Train Positioning Applications.
IEEE Intelligent Vehicles Symposium 2019 (IV19). Paris, France (09.-12.06.2019)
doi: 10.26083/tuprints-00020409
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint

Kurzbeschreibung (Abstract)

In this paper, we present a method to generate compact geometric track-maps for train-borne localization applications. Therefore, we first give a brief overview on the purpose of track maps in train-positioning applications. It becomes apparent that there are hardly any adequate methods to generate suitable geometric track-maps. This is why we present a novel map generation procedure. It uses an optimization formulation to find the continuous sequence of track geometries that fits the available measurement data best. The optimization is initialized with the results from a localization filter [1] developed in our previous work. The localization filter also provides the required information for shape identification and measurement association. The presented approach will be evaluated on simulated data as well as on real measurements.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Winter, Hanno ; Luthardt, Stefan ; Willert, Volker ; Adamy, Jürgen
Art des Eintrags: Zweitveröffentlichung
Titel: Generating Compact Geometric Track-Maps for Train Positioning Applications
Sprache: Englisch
Publikationsjahr: 2022
Ort: Darmstadt
Verlag: IEEE
Kollation: 6 ungezählte Seiten
Veranstaltungstitel: IEEE Intelligent Vehicles Symposium 2019 (IV19)
Veranstaltungsort: Paris, France
Veranstaltungsdatum: 09.-12.06.2019
DOI: 10.26083/tuprints-00020409
URL / URN: https://tuprints.ulb.tu-darmstadt.de/20409
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

In this paper, we present a method to generate compact geometric track-maps for train-borne localization applications. Therefore, we first give a brief overview on the purpose of track maps in train-positioning applications. It becomes apparent that there are hardly any adequate methods to generate suitable geometric track-maps. This is why we present a novel map generation procedure. It uses an optimization formulation to find the continuous sequence of track geometries that fits the available measurement data best. The optimization is initialized with the results from a localization filter [1] developed in our previous work. The localization filter also provides the required information for shape identification and measurement association. The presented approach will be evaluated on simulated data as well as on real measurements.

Status: Postprint
URN: urn:nbn:de:tuda-tuprints-204099
Zusätzliche Informationen:

Keywords: Global navigation satellite system, Rail transportation, Geometry, Optimization, Shape, Simultaneous localization and mapping

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 13:13
Letzte Änderung: 03 Feb 2022 13:40
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