Update dataset card with paper link, code, and usage instructions

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by nielsr HF Staff - opened
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  1. README.md +48 -12
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  ---
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  license: cc-by-4.0
 
 
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  tags:
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- - rockfall
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- - geomonitoring
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- - pointcloud
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- - rgb-image
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  ---
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- # Rockfall Simulator dataset
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- This dataset contains simulated rockfall measurement dataset using a physical model. For detailed documentation, usage instructions, and data description, please refer to the GitHub repository:
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- https://github.com/zhaoyiww/fusion4landslide. Relevant arXiv paper: arxiv.org/abs/2506.16265.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## License
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@@ -18,12 +44,22 @@ This dataset is licensed under the [Creative Commons Attribution 4.0 Internation
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  ## Citation
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- If you use this dataset, please cite:
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  ```bibtex
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- @inproceedings{Wang2025RGB4landslide,
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- title={An Approach for RGB-Guided Dense 3D Displacement Estimation in TLS-Based Geomonitoring},
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- author={Wang, Zhaoyi and Butt, Jemil Avers and Huang, Shengyu and Meyer, Nicholas and Medic, Tomislav and Wieser, Andreas},
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- journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
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  year={2025},}
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  ---
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  license: cc-by-4.0
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+ task_categories:
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+ - other
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  tags:
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+ - rockfall
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+ - geomonitoring
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+ - pointcloud
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+ - rgb-image
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  ---
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+ # Rockfall Simulator Dataset
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+ This dataset contains simulated rockfall measurement data using a physical model, as presented in the paper [Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images](https://huggingface.co/papers/2506.16265).
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+
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+ [**GitHub Repository**](https://github.com/zhaoyiww/fusion4landslide) | [**Paper**](https://huggingface.co/papers/2506.16265)
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+
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+ ## Usage
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+
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+ To use this dataset with the official implementation, follow the steps below from the [GitHub repository](https://github.com/zhaoyiww/fusion4landslide):
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+
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+ ### Installation
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+
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+ ```bash
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+ git clone --recursive https://github.com/zhaoyiww/fusion4landslide.git
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+ cd fusion4landslide
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+ bash install.sh
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+ ```
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+
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+ ### Running the pipeline
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+
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+ Before running, modify the corresponding config file in `/configs/test/[method]_[dataset].yaml`, and update any necessary parameters in `main_[method].py`. Then, run the main pipeline using:
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+
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+ ```bash
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+ python main_fusion.py # run for TLS+RGB fusion method
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+ python main_rgb_guided.py # run for RGB-Guided method
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+ python main_f2s3.py # run for F2S3 baseline
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+ python main_piecewise_icp.py # run for Piecewise ICP baseline
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+ ```
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  ## License
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  ## Citation
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+ If you use this dataset, please cite the following works:
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  ```bibtex
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+ @preprint{wang2025fusion4landslide,
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+ title={Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images},
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+ author={Wang, Zhaoyi and Butt, Jemil Avers and Huang, Shengyu and Medic, Tomislav and Wieser, Andreas},
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+ journal={arXiv preprint},
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  year={2025},}
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+ ```
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+
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+ ```bibtex
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+ @article{wang2025RGB4landslide,
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+ title={An approach for rgb-guided dense 3d displacement estimation in tls-based geomonitoring},
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+ author={Wang, Zhaoyi and Butt, Jemil Avers and Huang, Shengyu and Meyer, Nicholas and Medi{\'c}, Tomislav and Wieser, Andreas},
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+ journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
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+ pages={953--960},
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+ year={2025},
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+ }
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  ```