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Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera

Jahan, Kanwal and Niemeijer, Joshua and Kornfeld, Nils and Roth, Michael (2021) Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera. In: 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021. IEEE. IEEE Symposium Series on Computational Intelligence, 2021-12-04 - 2021-12-07, USA. doi: 10.1109/SSCI50451.2021.9659983. ISBN 978-1-7281-9048-8. (In Press)

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Abstract

Recent years have seen major advances in Artificial Intelligence (AI) methods for environment perception in intelligent transportation systems. Although most of them have been achieved in the automotive sector there is a similar demand in the railway domain. This paper investigates Deep Neural Network (DNN) based environment perception using vehicle-borne camera images from the rail domain. Specifically, railway switch detection and classification are addressed as a relevant example for a DNN application with potential use for landmark positioning, environment perception, and condition monitoring. The lack of large training data sets in the railway sector (in contrast to the automotive domain) is compensated by an appropriate DNN architecture, an anchor box ratio optimization scheme, and transfer learning. The presented experimental results advocate for the adopted approach.

Item URL in elib:https://elib.dlr.de/144476/
Document Type:Conference or Workshop Item (Speech)
Title:Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Jahan, KanwalUNSPECIFIEDhttps://orcid.org/0009-0000-6977-239XUNSPECIFIED
Niemeijer, JoshuaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kornfeld, NilsUNSPECIFIEDhttps://orcid.org/0000-0003-4889-363XUNSPECIFIED
Roth, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-4812-346XUNSPECIFIED
Date:15 October 2021
Journal or Publication Title:2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/SSCI50451.2021.9659983
Publisher:IEEE
ISBN:978-1-7281-9048-8
Status:In Press
Keywords:Switch-detection. Switch-classification, deep neural networks, transfer learning
Event Title:IEEE Symposium Series on Computational Intelligence
Event Location:USA
Event Type:international Conference
Event Start Date:4 December 2021
Event End Date:7 December 2021
Organizer:IEEE Computational Intelligence Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - Digitalisierung und Automatisierung des Bahnsystems (old)
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Gathering and Modelling, BS
Institute of Transportation Systems > Information Gathering and Modelling, BA
Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Jahan, Kanwal
Deposited On:07 Jan 2022 08:57
Last Modified:24 Apr 2024 20:43

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