Keywords: synthetic data generation, configurable data generation pipeline, simulation framework, railway shunting yard, virtual environments, perception systems.

The development of perception systems for railway applications relies on large volumes of annotated multimodal data. However, acquiring such data in real-world railway environments is inherently challenging due to safety constraints, high operational costs, and limited access to infrastructure. This paper introduces SynDRA-Gen, a standalone application designed for controlled synthetic data generation in railway yard scenarios. The system builds upon a previously developed simulation framework used for railway perception datasets and extends it into a fully configurable and user-friendly pipeline. SynDRA-Gen enables users to customize scene layouts, environmental conditions, and sensor configurations through a structured interface. The application supports a synchronized sensor suite that generates both camera and LiDAR data, along with automatically produced annotations such as depth maps, semantic segmentation, and 2D/3D bounding boxes. To facilitate reproducibility and accessibility, the system is distributed as a precompiled executable, allowing consistent dataset generation without requiring direct access to the underlying simulation framework. The tool is publicly available at: https://github.com/DAmicoGlc/SynDRA-Gen.

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