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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: IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021). IEEE. IEEE Symposium Series on Computational Intelligence, 04.-07. Dez. 2021, USA. (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 iD
Jahan, KanwalKanwal.Jahan (at) dlr.deUNSPECIFIED
Niemeijer, JoshuaJoshua.Niemeijer (at) dlr.deUNSPECIFIED
Kornfeld, Nilsnils.kornfeld (at) dlr.deUNSPECIFIED
Roth, MichaelM.Roth (at) dlr.dehttps://orcid.org/0000-0002-4812-346X
Date:15 October 2021
Journal or Publication Title:IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:IEEE
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 Dates:04.-07. Dez. 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
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:01 Apr 2022 03:00

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