ai4ce/OCFBench
收藏资源简介：
--- 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} } ```
license: 知识共享署名-非商业性使用-相同方式共享4.0（CC BY-NC-SA 4.0）协议 language: - 英语 pretty_name: OCFBench size_categories: - 10000 < 样本量 < 100000 --- # OCFBench数据集卡片 [[论文]](https://arxiv.org/abs/2310.11239) [[代码]](https://github.com/ai4ce/Occ4cast/) [[官网]](https://ai4ce.github.io/Occ4cast/) <!-- 提供数据集的简要概述。 --> OCFBench数据集由论文《**Occ4cast：基于激光雷达（LiDAR）的4D占用补全与预测**》整理构建。该数据集源自公开自动驾驶场景数据，经预处理后可用于支撑新型**占用补全与预测（occupancy completion and forecasting, OCF）**任务的训练与评估。 # 使用方法 请从各子目录中下载所有`.sqf`格式文件，并挂载至本地系统后使用。 对于被拆分为多个分块的大文件，请在挂载前运行以下代码进行合并： cat output_prefix_* > merged.sqf 有关数据集的结构与加载细节，请参阅我们的[GitHub仓库](https://github.com/ai4ce/Occ4cast/)。 ## 引用 <!-- 若有介绍该数据集的论文或博客文章，应在此处添加其APA与BibTeX引用信息。 --> **BibTeX格式：** @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} }
数据集卡片 for OCFBench
概述
OCFBench 数据集是在论文 Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting 中精心策划的。该数据集从公开的自动驾驶数据中处理而来，旨在支持新颖的 occupancy completion and forecasting (OCF) 任务的训练和评估。
使用方法
请从各个目录下载每个 .sqf 文件，并将其挂载到本地系统以供使用。对于被拆分成多个部分的大型文件，请运行以下代码合并部分文件后再进行挂载：
bash cat output_prefix_* > merged.sqf
有关数据集结构和加载细节，请参考我们的 GitHub 仓库。
引用
BibTeX:
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} }
