HDD

HRI Driving Dataset

Introduction

We present the Honda Research Institute Driving Dataset (HDD), a challenging dataset to enable research on learning driver behavior in real-life environments. The dataset includes 104 hours of real human driving in the San Francisco Bay Area collected using an instrumented vehicle equipped with different sensors.    The videos below provide examples of goal-oriented driving behavior from the dataset. GPS coordinates together with sensor values from the CAN bus are shown on top of the front-facing camera stream.

Videos

Left Lane Branch

Left Lane Branch

Right Lane Branch

Right Lane Branch

Left Lane Change

Left Lane Change

Right Lane Change

Right Lane Change

Merge

Merge

Park

Park

Intersection Passing

Intersection Passing

Railroad Passing

Railroad Passing

Crosswalk Passing

Crosswalk Passing

Right Turn

Right Turn

Left Turn

Left Turn

U Turn

U Turn

Downloads

This dataset corresponds to the paper, "Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning", as it appears in CVPR 2018. In the current release, the data is only available to universities. To obtain the dataset, please follow the following instructions.

Important: The following instructions must be followed exactly:

  • Please use your official university email to  to request the agreement.
  • You will receive a link and password to the data in your official email address after the review.

Please cite the following paper if you find the dataset useful in your work:

@inproceedings{Ramanishka_behavior_CVPR_2018,
    author = {Vasili Ramanishka and Yi-Ting Chen and Teruhisa Misu and Kate Saenko},
    title = {Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning},  
    booktitle = {Conference on Computer Vision and Pattern Recognition},
    year = {2018}
}

Citation

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning

Bibtex

If you find this dataset useful in your research, please consider citing:

@inproceedings{ramanishka2018CVPR,
    author    = {Vasili Ramanishka and Yi-Ting Chen and Teruhisa Misu and Kate Saenko},
    title     = {Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning},
    booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
    year      = {2018}
}