av2 0.3.6
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Requires Python: >=3.8
Keywords: argoverse, argoverse2, autonomous-driving, av1, av2, 3d-object-detection, 3d-scene-flow, 4d-occupancy-forecasting, e2e-forecasting, motion-forecasting

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# Argoverse 2

> _Official_ GitHub repository for the [Argoverse 2](https://www.argoverse.org) family of datasets.

<p align="center">
  <img src="https://argoverse.github.io/user-guide/assets/157802162-e40098c1-8677-4c16-ac60-e9bbded6badf.avif">
</p>

## Getting Started

Please see the [Argoverse User Guide](https://argoverse.github.io/user-guide/).

## Supported Datasets

- Argoverse 2 (AV2)

  - [Sensor](https://argoverse.github.io/user-guide/datasets/sensor.html)
  - [Lidar](https://argoverse.github.io/user-guide/datasets/lidar.html)
  - [Motion Forecasting](https://argoverse.github.io/user-guide/datasets/motion_forecasting.html)
  
- Trust, but Verify (TbV)
  - [Map Change Detection](https://argoverse.github.io/user-guide/datasets/map_change_detection.html)

## Supported Tasks

- Argoverse 2 (AV2)

  - [3D Object Detection](https://argoverse.github.io/user-guide/tasks/3d_object_detection.html)
  - [3D Scene Flow](https://argoverse.github.io/user-guide/tasks/3d_scene_flow.html)
  - [4D Occupancy Forecasting](https://argoverse.github.io/user-guide/tasks/4d_occupancy_forecasting.html)
  - [End-to-End Forecasting](https://argoverse.github.io/user-guide/tasks/e2e_forecasting.html)
  - [Motion Forecasting](https://argoverse.github.io/user-guide/tasks/motion_forecasting.html)
  - [Scenario Mining](https://argoverse.github.io/user-guide/tasks/scenario_mining.html)


## Citing

Please use the following citation when referencing the [Argoverse 2](https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/4734ba6f3de83d861c3176a6273cac6d-Paper-round2.pdf) _Sensor_, _Lidar_, or _Motion Forecasting_ Datasets:

```BibTeX
@INPROCEEDINGS { Argoverse2,
  author = {Benjamin Wilson and William Qi and Tanmay Agarwal and John Lambert and Jagjeet Singh and Siddhesh Khandelwal and Bowen Pan and Ratnesh Kumar and Andrew Hartnett and Jhony Kaesemodel Pontes and Deva Ramanan and Peter Carr and James Hays},
  title = {Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021)},
  year = {2021}
}
```

Use the following citation when referencing the [Trust, but Verify](https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/6f4922f45568161a8cdf4ad2299f6d23-Paper-round2.pdf) _Map Change Detection_ Dataset:
```BibTeX
@INPROCEEDINGS { TrustButVerify,
  author = {John Lambert and James Hays},
  title = {Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021)},
  year = {2021}
}
```