Datasetpublic

Telkwevr/Bench2Drive-Speed-sample

This is a aubset of Bench2Drive-Speed's CustomizedSpeedDataset where all clips are shown directly in folders, not .tar.gz files. Full dataset is here. Bench2Drive-Speed Project Page | Paper | GitHub Bench2Drive-Speed is a closed-loop benchmark for desired-speed conditioned autonomous driving, enabling explicit control over vehicle behavior through target speed and overtake/follow commands. The CustomizedSpeedDataset contains 2,100 CARLA driving scenarios with expert… See the full description on the dataset page: https://huggingface.co/datasets/Telkwevr/Bench2Drive-Speed-sample.

sourceHugging Facecc-by-nc-nd-4.0updated 5mo agoView on Hugging Face

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Dataset Card

This is a aubset of Bench2Drive-Speed's CustomizedSpeedDataset where all clips are shown directly in folders, not .tar.gz files.

Full dataset is here.

Bench2Drive-Speed

**Project Page** | **Paper** | **GitHub**

Bench2Drive-Speed is a closed-loop benchmark for desired-speed conditioned autonomous driving, enabling explicit control over vehicle behavior through target speed and overtake/follow commands.

The CustomizedSpeedDataset contains 2,100 CARLA driving scenarios with expert demonstrations and annotated overtake/follow commands. The released dataset includes expert target-speed signals only.

Virtual Target Speed Annotation

You can use a script to generate virtual target speed from Bench2Drive-style driving dataset.

1.Find tools/append_virtual_target_speed.py in the GitHub repository.

1.Set the path to your dataset in the main function:

python

# tools/append_virtual_target_speed.py
if __name__ == "__main__":
    main(
        ["/path/to/dataset"] # << modify here
    )

1.Run the script:

bash

python tools/append_virtual_target_speed.py