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Map-Supported Positioning Enables In-Service Condition Monitoring of Railway Tracks

Roth, Michael Helmut and Baasch, Benjamin and Havrila, Patrik and Groos, Jörn Christoffer (2018) Map-Supported Positioning Enables In-Service Condition Monitoring of Railway Tracks. In: 2018 21st International Conference on Information Fusion (FUSION). 2018 21st International Conference on Information Fusion (FUSION), 10.-13. Juli 2018, Cambridge, United Kingdom.

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Abstract

We demonstrate how positioning concepts enable in-service condition monitoring of railway tracks. Specifically, it is shown that accurate georeferencing of monitoring data can be achieved by sensor fusion of GNSS and IMU measurements with a map of the railway network. Because such georeferencing is an offline positioning problem, a two-stage approach that operates on batches of data is developed: First, path hypotheses are estimated from the GNSS data and the railway map. Second, a nonlinear Rauch-Tung-Striebel smoother provides on-track positions and speeds in path coordinates given each path hypothesis and the IMU and GNSS data. The developed methods are an essential part of a track condition monitoring system developed at DLR. The positioning results are used for the track-dependent analysis of axle-box-acceleration data. Accordingly, all results shown in this paper have been obtained on real data collected in the harbor railway network of Braunschweig, Germany.

Item URL in elib:https://elib.dlr.de/119046/
Document Type:Conference or Workshop Item (Speech)
Title:Map-Supported Positioning Enables In-Service Condition Monitoring of Railway Tracks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Roth, Michael HelmutM.Roth (at) dlr.dehttps://orcid.org/0000-0002-4812-346X
Baasch, BenjaminBenjamin.Baasch (at) dlr.deUNSPECIFIED
Havrila, PatrikPatrik.Havrila (at) dlr.deUNSPECIFIED
Groos, Jörn ChristofferJoern.Groos (at) dlr.dehttps://orcid.org/0000-0003-3871-0756
Date:July 2018
Journal or Publication Title:2018 21st International Conference on Information Fusion (FUSION)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Rail vehicle positioning, Kalman filter, track-selective
Event Title:2018 21st International Conference on Information Fusion (FUSION)
Event Location:Cambridge, United Kingdom
Event Type:international Conference
Event Dates:10.-13. Juli 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - TrackScan (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Roth, Michael
Deposited On:19 Dec 2018 08:46
Last Modified:20 Jun 2021 15:50

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