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

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 (Corresponding author)^RWTH* ; Betz, Friedrich (Corresponding author) ; Eichenbaum, Julian (Corresponding author) ; Hampel, Fabian Oliver (Corresponding author)^RWTH* ; Klamt, Simon (Corresponding author)^RWTH* ; Otten, Yannick (Corresponding author) ; Scholl, Ingrid (Corresponding author) ; Schindler, Christian (Corresponding author)^RWTH*

In
2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) : 24-27 Sept. 2024 ; conference location: Edmonton, AB, Canada / publisher: IEEE, Seiten/Artikel-Nr: 3181-3188

2024 & 2025

Konferenz/Event:IEEE 27. International Conference on Intelligent Transportation Systems , Edmonton, AB , Canada , ITSC 2024 , 2024-09-24 - 2024-09-27

Impressum[Piscataway, NJ] : IEEE

Umfang3181-3188

ISBN979-8-3315-0592-9, 979-8-3315-0593-6, 9798331505929, 9798331505936