dongxr7/Person2Drive
Person2Drive 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 Overview 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.
112k
1# Person2Drive Dataset Details2 3This document provides additional details about the organization, content, and release status of the Person2Drive dataset.4 5## Dataset Overview6 7Person2Drive is a closed-loop personalized end-to-end autonomous driving dataset collected in the CARLA simulator. The dataset is designed to support research on human driving style modeling, driver-level personalization, and closed-loop autonomous driving evaluation.8 9The dataset contains human driving records collected from anonymized drivers under controlled CARLA driving environments. Each driver is represented by an anonymized identifier, such as `driver01`, `driver02`, and so on.10 11## Dataset Scale12 13The full Person2Drive dataset contains:14 15* **50 anonymized human drivers**16* **4 driving routes**17* **multiple repeated drives for each driver-route setting**18* **driver-level metadata and route-level driving records**19 20The dataset is being progressively uploaded to this Hugging Face repository. Please refer to [`RELEASE_MANIFEST.md`](./RELEASE_MANIFEST.md) for the current upload status.21 22## Data Organization23 24The released dataset is organized by driver. Each driver folder contains compressed route-level driving record archives and a corresponding metadata file.25 26The current repository structure is:27 28```text29Person2Drive/30├── drivers/31│ ├── driver01/32│ │ ├── Town04_drive_1.tar.zst33│ │ ├── Town04_drive_2.tar.zst34│ │ ├── ...35│ │ ├── Town05_drive_8.tar.zst36│ │ └── b2d_infos_train.pkl37│ ├── driver02/38│ │ ├── Town04_drive_1.tar.zst39│ │ ├── ...40│ │ ├── Town05_drive_8.tar.zst41│ │ └── b2d_infos_train.pkl42│ └── ...43├── b2d_map_infos.pkl44├── RELEASE_MANIFEST.md45├── DATASET_DETAILS.md46└── README.md47```48 49Each `driverXX/` folder corresponds to one anonymized human driver.50 51## Route-Level Archives52 53The `.tar.zst` files are compressed route-level driving record packages. Each archive contains data collected from a specific driver under a specific route or driving setting in CARLA.54 55Examples include:56 57```text58Town04_drive_1.tar.zst59Town04_drive_2.tar.zst60Town05_drive_1.tar.zst61Town05_drive_2.tar.zst62```63 64The file names indicate the CARLA town and drive index used in the released data organization.65 66## Data Content67 68Depending on the released archive, the dataset may include:69 70* ego-vehicle states71* control signals, such as steering, throttle, and brake72* ego trajectories73* route and navigation information74* selected sensor data used by end-to-end driving models75* metadata for driver-level and route-level organization76 77The exact internal structure of each archive will be further documented as the release is completed.78 79## Metadata Files80 81Each driver folder contains a metadata file:82 83```text84b2d_infos_train.pkl85```86 87This file stores driver-specific metadata used for data loading and organization.88 89The root directory contains:90 91```text92b2d_map_infos.pkl93```94 95This file stores map-level metadata used by the dataset and benchmark pipeline.96 97## Anonymization98 99Driver identities are anonymized. Public driver folders use identifiers such as `driver01`, `driver02`, and so on. No real driver names are used in the released dataset structure.100 101## Release Status102 103The dataset is currently being uploaded and organized. Files already available in this Hugging Face repository are part of the public release.104 105The release status of uploaded and in-progress driver folders is tracked in:106 107```text108RELEASE_MANIFEST.md109```110 111## Notes112 113This document focuses on the dataset organization and released data files. Benchmark protocols, evaluation metrics, and code-level usage instructions will be documented separately.114 