metadata
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
@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}
}