elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

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), 2018-07-10 - 2018-07-13, Cambridge, United Kingdom. doi: 10.23919/ICIF.2018.8455377.

[img] PDF
1MB

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 iDORCID Put Code
Roth, Michael HelmutUNSPECIFIEDhttps://orcid.org/0000-0002-4812-346XUNSPECIFIED
Baasch, BenjaminUNSPECIFIEDhttps://orcid.org/0000-0003-1970-3964UNSPECIFIED
Havrila, PatrikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Groos, Jörn ChristofferUNSPECIFIEDhttps://orcid.org/0000-0003-3871-0756138942641
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
DOI:10.23919/ICIF.2018.8455377
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 Start Date:10 July 2018
Event End Date:13 July 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:24 Apr 2024 20:23

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.