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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
Conference or Workshop Item, Secondary publication, Postprint

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: Generating Compact Geometric Track-Maps for Train Positioning Applications
Language: English
Date: 2022
Place of Publication: Darmstadt
Year of primary publication: 2019
Publisher: IEEE
Collation: 6 ungezählte Seiten
Event Title: IEEE Intelligent Vehicles Symposium 2019 (IV19)
Event Location: Paris, France
Event Dates: 09.-12.06.2019
DOI: 10.26083/tuprints-00020409
Corresponding Links:
Origin: Secondary publication service

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
Additional Information:

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

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited: 01 Feb 2022 13:13
Last Modified: 21 Mar 2023 12:01
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/20409
PPN: 49145290X
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