PDD (Personalized Driving Dataset) is a multi-driver, multi-scenario driving dataset collected in CARLA 0.9.15. It captures real human driving behavior from 30 individual drivers, each performing 21 challenging driving scenarios. The dataset is designed for research on personalized autonomous driving, where models learn to mimic individual driving styles.
Each driver has a detailed profile capturing demographics… See the full description on the dataset page: https://huggingface.co/datasets/tasl-lab/PDD.
