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README.md
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---
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license: mit
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tags:
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- self-driving
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- udacity
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---
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# Thesis Training Data
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Training datasets collected from the Udacity self-driving car simulator for the bachelor's thesis: Dual-Axis Testing of Visual Robustness and Topological Generalization in Vision-based End-to-End Driving Models.
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Technical University of Munich, 2025
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## Datasets
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| Map | Description | Archive |
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|-----|-------------|---------|
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| Jungle | Training data for DAVE-2, DAVE-2-GRU, ViT | `jungle_20251029-174507.tar.zst` |
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| GenRoads | Training data for ViT | `genroads_20251201-163211.tar.zst` |
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| GenRoads | Sequential training data for DAVE-2, DAVE-2-GRU | `genroads_gru.tar.zst` |
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## Data Format
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Each dataset contains:
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- RGB images from the front-facing camera
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- Corresponding steering and throttle values
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## Citation
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```bibtex
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@thesis{igenbergs2025dualaxis,
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title={Dual-Axis Testing of Visual Robustness and Topological Generalization in Vision-based End-to-End Driving Models},
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author={Igenbergs, Maxim},
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school={Technical University of Munich},
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year={2026},
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type={Bachelor's Thesis}
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}
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```
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## Related
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- [DAVE-2 Driving Model](https://huggingface.co/maxim-igenbergs/dave2)
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- [DAVE-2-GRU Driving Model](https://huggingface.co/maxim-igenbergs/dave2-gru)
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- [ViT Driving Model](https://huggingface.co/maxim-igenbergs/vit)
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- [TCP Driving Model](https://huggingface.co/maxim-igenbergs/tcp-carla-repro)
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- [Evaluation Runs Dataset](https://huggingface.co/datasets/maxim-igenbergs/thesis-runs)
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