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TaCarla

Dataset Details

Dataset Description

This dataset is collected using the CARLA 0.9.15 high-fidelity simulator, specifically designed for the CARLA Leaderboard 2.0 challenge. It is well-suited for training AI models focused on autonomous driving tasks such as traffic light detection, dynamic object detection, planning, lane detection, and center line detection.

  • Curated by: Togg/Trutek

Citation

@article{tg25TaCarla, title={TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving}, author={Tugrul Gorgulu, Atakan Dag, M. Esat Kalfaoglu, Halil Ibrahim Kuru, Baris Can Cam, Ozsel Kilinc}, journal={\url{https://github.com/atg93/TaCarla-Dataset}}, year={2025} }

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