Towards intelligent railway monitoring: A novel hybrid deep learning architecture for railway obstacle detection

• Christopher Mai,

  Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing

  Affiliation Chair of Hybrid Intelligence, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, Hamburg, Germany

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• Luca Eisentraut,

  Roles Investigation, Methodology, Visualization, Writing – review & editing

  Affiliation Chair of Hybrid Intelligence, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, Hamburg, Germany

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• Merlin Schadt,

  Roles Data curation, Formal analysis, Investigation, Validation, Visualization, Writing – original draft

  Affiliation Chair of Hybrid Intelligence, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, Hamburg, Germany

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• Ricardo Buettner

  Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – review & editing

  * E-mail: buettner@hsu-hh.de

  Affiliation Chair of Hybrid Intelligence, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, Hamburg, Germany

  https://orcid.org/0000-0003-2263-6408

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