Research

If you are interested in synthetic data generation for railway environments, we are always open to new collaboration, check our previous work:

1. Diaz, Xavier and D'Amico, Gianluca and Dominguez-Sanchez, Raul and Nesti, Federico and Ronecker, Max and Buttazzo, Giorgio "Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox"
   ICIRT 2025: IEEE International Conference on Intelligent Rail Transportation, October 2025, Beijing, China.
      
2. D’Amico et al. “SynDRA: Synthetic Dataset for Railway Applications.”
   Accepted at WACV2025: Winter Conference of Computer Vision Applications (WACV), February 2025, Tucson, Arizona
      
3. D’Amico et al. “A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments.”
   Accepted at RAILWAYS 2024: The Sixth International Conference on Railways Technology, September 2024, Prague
      
4. D’Amico et al. "TrainSim: A railway simulation framework for LiDAR and camera dataset generation." IEEE Transactions on Intelligent Transportation Systems (2023)
      
5. D'Amico et al. “Graphic Simulation Framework of Railway Scenarios for LiDAR Dataset Generation
   RAILWAYS 2022: The Fifth International Conference on Railways Technology, August 2022, Montpellier
      

Partnership

We would like to thank Xavier Diaz, Raul Dominguez, and Max Ronecker for their valuable collaboration during the development of SynDRA-BBox (1), carried out at SETLabs Research GmbH. Their contribution was essential on defining the scenarios/sequences as well as the object classes of interest, reviewing and advising on dataset quality with their continous feedback, providing the adaption methods and conducting the experiments based on the SynDRA-BBox dataset.