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Generating Compact Geometric Track-Maps for Train Positioning Applications

Winter, Hanno ; Luthardt, Stefan ; Willert, Volker ; Adamy, Jürgen (2019)
Generating Compact Geometric Track-Maps for Train Positioning Applications.
30th IEEE Intelligent Vehicles Symposium (IV'19). Paris, France (09.06.2019-12.06.2019)
doi: 10.1109/IVS.2019.8813901
Konferenzveröffentlichung, Bibliographie

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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: 2019
Autor(en): Winter, Hanno ; Luthardt, Stefan ; Willert, Volker ; Adamy, Jürgen
Art des Eintrags: Bibliographie
Titel: Generating Compact Geometric Track-Maps for Train Positioning Applications
Sprache: Englisch
Publikationsjahr: 29 August 2019
Verlag: IEEE
Buchtitel: IV19 : 30th IEEE Intelligent Vehicles Symposium
Veranstaltungstitel: 30th IEEE Intelligent Vehicles Symposium (IV'19)
Veranstaltungsort: Paris, France
Veranstaltungsdatum: 09.06.2019-12.06.2019
DOI: 10.1109/IVS.2019.8813901
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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

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Erstveröffentlichung

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: 04 Sep 2019 10:59
Letzte Änderung: 03 Jul 2024 02:39
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