| --- |
| license: cc-by-nc-sa-4.0 |
| language: |
| - en |
| pretty_name: OCFBench |
| size_categories: |
| - 10K<n<100K |
| --- |
| # Dataset Card for OCFBench |
| [[Paper]](https://arxiv.org/abs/2310.11239) |
| [[Code]](https://github.com/ai4ce/Occ4cast/) |
| [[Website]](https://ai4ce.github.io/Occ4cast/) |
|
|
| <!-- Provide a quick summary of the dataset. --> |
|
|
| The OCFBench dataset is curated in the paper [**Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting**](https://arxiv.org/abs/2310.11239). |
| The dataset is processed from public autonomous driving data to support the training and evaluation of the novel **occupancy completion and forecasting (OCF)** task. |
|
|
| # Uses |
|
|
| Please download each `.sqf` file from individual directories and mount them to local system for usage. |
|
|
| For larger files that are splited into several parts, please run the following code to merge the parts before mounting: |
|
|
| ``` |
| cat output_prefix_* > merged.sqf |
| ``` |
|
|
| Please refer to our [GitHub repository](https://github.com/ai4ce/Occ4cast/) for dataset structure and loading details. |
|
|
| ## Citation |
|
|
| <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
|
|
| **BibTeX:** |
|
|
| ``` |
| @article{Liu2023occ4cast, |
| title={LiDAR-based 4D Occupancy Completion and Forecasting}, |
| author={Xinhao Liu and Moonjun Gong and Qi Fang and Haoyu Xie and Yiming Li and Hang Zhao and Chen Feng}, |
| journal={arXiv preprint arXiv:2310.11239}, |
| year={2023} |
| } |
| ``` |
