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Vision based rail track and switch recognition for self-localization of trains in a rail network

Wohlfeil, Jürgen (2011) Vision based rail track and switch recognition for self-localization of trains in a rail network. In: IV'11, 11 (978-1-4577-0889-3), pp. 1023-1028. IEEE. IEEE Intelligent Vehicles Symposium 2011, 05.-09. Jun. 2011, Baden-Baden, Deutschland.

Full text not available from this repository.

Abstract

A collision avoidance system for railroad vehicles needs to determine their location in the railroad network precisely and reliably. For a vehicle-based system, that is independent from the infrastructure, it is vital to determine the direction a railroad vehicle turns at switches. In this paper a vision based approach is presented that allows to achieve this reliably, even under difficult conditions. In the images of a camera that observes the area in front of a railroad vehicle the rail tracks are detected in real-time. From the perspective of the moving railroad vehicle rail tracks branch and join from/to the currently travelled rail track. By tracking these rail tracks in the images, switches are detected as they are passed. It is shown that the followed track can be determined at branching switches. The approach is tested with real data from test rides in different locations and under a variety of weather conditions and environments. It proved to be very robust and of high practical use for track-selective self-localization of railroad vehicles, mandatory for collision avoidance.

Item URL in elib:https://elib.dlr.de/69062/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Vision based rail track and switch recognition for self-localization of trains in a rail network
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wohlfeil, Jürgenjuergen.wohlfeil (at) dlr.deUNSPECIFIED
Date:June 2011
Journal or Publication Title:IV'11
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:11
Page Range:pp. 1023-1028
Publisher:IEEE
Status:Published
Keywords:RCAS, switch detection, self-localization, railroad, collision avoidance
Event Title:IEEE Intelligent Vehicles Symposium 2011
Event Location:Baden-Baden, Deutschland
Event Type:international Conference
Event Dates:05.-09. Jun. 2011
Organizer:IEEE
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 - RCAS (old)
Location: Berlin-Adlershof
Institutes and Institutions:Optical Information Systems
Deposited By: Dombrowski, Ute
Deposited On:24 Feb 2011 15:07
Last Modified:14 Feb 2012 16:23

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