ai4ce/OCFBench

Dataset

Dataset Card for OCFBench

5

22 commits

2 linked in READMEs

updated Oct 7, 2024

See the code

README

Dataset Card for OCFBench

[Paper] [Code] [Website]

The OCFBench dataset is curated in the paper Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting. 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 for dataset structure and loading details.

Citation

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}
}

ai4ce/OCFBench

Dataset

Dataset Card for OCFBench

5

22 commits

2 linked in READMEs

updated Oct 7, 2024

See the code

README

Dataset Card for OCFBench

[Paper] [Code] [Website]

The OCFBench dataset is curated in the paper Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting. 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 for dataset structure and loading details.

Citation

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}
}