Person2Drive is the dataset and benchmark repository for the ECCV 2026 paper:
Driving like yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
Person2Drive is a CARLA-based benchmark for studying personalized end-to-end autonomous driving. It contains human driving records collected in closed-loop simulation environments and is organized at the driver level.
The goal of the benchmark is to support research on… See the full description on the dataset page:
https://huggingface.co/datasets/dongxr7/Person2Drive.