Waymo Open Dataset - Motion¶

The Waymo Open Dataset (WOD) is a collective term for publicly available datasets from Waymo.

Warning

The WOD-Motion dataset is not fully supported yet. You might encounter issues. This documentation is incomplete.

Available Modalities¶

Name	Available	Description
Ego Vehicle	✓	State of the ego vehicle, including poses, and vehicle parameters, see `EgoStateSE3`.
Map	(✓)	The HD-Maps are in 3D, but may have artifacts due to polyline to polygon conversion (see below). For more information, see `MapAPI`.
Bounding Boxes	✓	The bounding boxes are available with the `WODMotionBoxDetectionLabel`. For more information, `BoxDetectionsSE3`.
Traffic Lights	✓	Traffic lights include the status and the lane id they are associated with, see `TrafficLightDetections`.
Cameras	X	n/a
Lidars	X	n/a

Download¶

To download the Waymo Open Dataset - Motion, please visit the official website.

$WOD_MOTION_DATA_ROOT
  ├── testing/
  |   ├── ...
  |   ├── ...
  |   └── ...
  ├── training/
  |   ├── ...
  |   ├── ...
  |   └── ...
  └── validation/
      ├── ...
      ├── ...
      └── ...

You can add the dataset root directory to the environment variable WOD_MOTION_DATA_ROOT for easier access.

export WOD_MOTION_DATA_ROOT=/path/to/wod_motion_data_root

Optionally, you can adjust the py123d/script/config/common/default_dataset_paths.yaml accordingly.

Installation¶

The Waymo Open Dataset requires additional dependencies that are included as optional dependencies in py123d. You can install them via:

PyPI

pip install py123d[waymo]

Source

pip install -e .[waymo]

The optional dependencies (tensorflow-cpu and protobuf) are only needed to convert the dataset or read from the raw TFRecord files. After conversion, you may use any other py123d installation without these dependencies.

Dataset Specific Issues¶

Map: The HD-Map in Waymo has bugs …

Citation¶

If you use this dataset in your research, please cite:

@inproceedings{Ettinger2021ICCV,
  title={Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset},
  author={Ettinger, Scott and Cheng, Shuyang and Caine, Benjamin and Liu, Chenxi and Zhao, Hang and Pradhan, Sabeek and Chai, Yuning and Sapp, Ben and Qi, Charles R and Zhou, Yin and others},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={9710--9719},
  year={2021}
}


Paper	Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Download	waymo.com/open
Code	waymo-open-dataset
License	Waymo Dataset License Agreement for Non-Commercial Use Apache License 2.0 + Code Specific Licenses
Available splits	`wod-motion_train`, `wod-motion_val`, `wod-motion_test`