Datasets:

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