Published December 16, 2025 | Version v1.1

Synthetic Urban Driving Dataset: RGB Frames and Pixel-Wise Semantic Labels Across Multiple Custom 3D Environments

Authors/Creators

  • 1. ROR icon RWTH Aachen University
  • 1. ROR icon RWTH Aachen University

Description

A dataset release generated with CARLA across four custom synthetic environments. It includes RGB frames and pixel-wise semantic segmentation ground truth labels. This dataset was generated using CARLA 0.10.0 with default camera settings for both RGB and semantic segmentation. The underlying 3D environments were created with a custom framework detailed in the supplementary paper "3D Environment Generation from Sparse Inputs for Automated Driving Function Development" (https://doi.org/10.3390/vehicles8030047).

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TTemmen/LGM_SemanticSegmentationDataset_1-v1.1.zip

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Additional details