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

TY  - CONF
AU  - Mersmann, Till
AU  - Betz, Friedrich
AU  - Eichenbaum, Julian
AU  - Hampel, Fabian Oliver
AU  - Klamt, Simon
AU  - Otten, Yannick
AU  - Scholl, Ingrid
AU  - Schindler, Christian
TI  - 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.
CY  - [Piscataway, NJ]
PB  - IEEE
M1  - RWTH-2025-04127
SP  - 3181-3188
PY  - 2024
N1  - Date Added to IEEE Xplore: 20 March 2025
T2  - IEEE 27. International Conference on Intelligent Transportation Systems
CY  - 24 Sep 2024 - 27 Sep 2024, Edmonton, AB (Canada)
Y2  - 24 Sep 2024 - 27 Sep 2024
M2  - Edmonton, AB, Canada
LB  - PUB:(DE-HGF)7 ; PUB:(DE-HGF)8
DO  - DOI:10.1109/ITSC58415.2024.10919732
UR  - https://publications.rwth-aachen.de/record/1010473
ER  -

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