Towards the Application of Operational Design Domain Based Scene Generation for Artificial Intelligence Training in Railway Automation The project “Rail Automation with Artificial Intelligence for Detection of Exceptional Situations” (RailAIxs) received funding in the mFUND conveyor line by the German Federal Ministry for Digital and Transport under the funding code 19FS2031A-D.

Mersmann, Till; Klamt, Simon; Schindler, Christian; Eichenbaum, Julian; Betz, Friedrich; Hampel, Fabian Oliver; Otten, Yannick; Scholl, Ingrid

doi:10.1109/ITSC58415.2024.10919732

%0 Conference Paper
%A Mersmann, Till
%A Betz, Friedrich
%A Eichenbaum, Julian
%A Hampel, Fabian Oliver
%A Klamt, Simon
%A Otten, Yannick
%A Scholl, Ingrid
%A Schindler, Christian
%T Towards the Application of Operational Design Domain Based Scene Generation for Artificial Intelligence Training in Railway Automation The project “Rail Automation with Artificial Intelligence for Detection of Exceptional Situations” (RailAIxs) received funding in the mFUND conveyor line by the German Federal Ministry for Digital and Transport under the funding code 19FS2031A-D.
%C [Piscataway, NJ]
%I IEEE
%M RWTH-2025-04127
%P 3181-3188
%D 2024
%Z Date Added to IEEE Xplore: 20 March 2025
%< 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) : 24-27 Sept. 2024 ; conference location: Edmonton, AB, Canada / publisher: IEEE
%B IEEE 27. International Conference on Intelligent Transportation Systems
%C 24 Sep 2024 - 27 Sep 2024, Edmonton, AB (Canada)
Y2 24 Sep 2024 - 27 Sep 2024
M2 Edmonton, AB, Canada
%F PUB:(DE-HGF)7 ; PUB:(DE-HGF)8
%9 Contribution to a bookContribution to a conference proceedings
%R 10.1109/ITSC58415.2024.10919732
%U https://publications.rwth-aachen.de/record/1010473

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