Synthetic Urban Driving Dataset: RGB Frames and Pixel-Wise Semantic Labels Across Multiple Custom 3D Environments
Contributors
Researcher (4):
Supervisor (2):
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).
Files
TTemmen/LGM_SemanticSegmentationDataset_1-v1.1.zip
Files
(3.4 kB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/TTemmen/LGM_SemanticSegmentationDataset_1/tree/v1.1 (URL)
- Preprint: 10.20944/preprints202601.0011.v1 (DOI)
- Journal article: 10.3390/vehicles8030047 (DOI)
Software
- Repository URL
- https://github.com/TTemmen/LGM_SemanticSegmentationDataset_1