---
license: mit
tags:
  - self-driving
  - udacity
---

# Thesis Training Data

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.

Technical University of Munich, 2025

## Datasets

| Map | Description | Archive |
|-----|-------------|---------|
| Jungle | Training data for DAVE-2, DAVE-2-GRU, ViT | `jungle_20251029-174507.tar.zst` |
| GenRoads | Training data for ViT | `genroads_20251201-163211.tar.zst` |
| GenRoads | Sequential training data for DAVE-2, DAVE-2-GRU | `genroads_gru.tar.zst` (formerly `train_dataset_gru`) |

## Data Format

Each dataset contains:
- RGB images from the front-facing camera
- Corresponding steering and throttle values

## Citation

```bibtex
@thesis{igenbergs2025dualaxis,
  title={Dual-Axis Testing of Visual Robustness and Topological Generalization in Vision-based End-to-End Driving Models},
  author={Igenbergs, Maxim},
  school={Technical University of Munich},
  year={2026},
  type={Bachelor's Thesis}
}
```

## Related

- [DAVE-2 Driving Model](https://huggingface.co/maxim-igenbergs/dave2)
- [DAVE-2-GRU Driving Model](https://huggingface.co/maxim-igenbergs/dave2-gru)
- [ViT Driving Model](https://huggingface.co/maxim-igenbergs/vit)
- [TCP Driving Model](https://huggingface.co/maxim-igenbergs/tcp-carla-repro)
- [Evaluation Runs Dataset](https://huggingface.co/datasets/maxim-igenbergs/thesis-runs)