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cnes/cars

By cnes

•Updated 3 days ago

CARS: A satellite imagery stereo pipeline designed for scalability, robustness and performance

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cnes/cars repository overview

CARS ⁠
⁠CARS, a satellite multi view stereo framework

Python Contributions welcome License Documentation Github Action pypi Docker pulls DOI

Overview⁠ • Quick Start⁠ • Documentation⁠ • License⁠ • Contribution⁠ • Help⁠ • Credits⁠ • Contact⁠ • References⁠

⁠🌐 Overview

🎞️ From Stereo Images

Stereo images animation
Input stereo image pairs
🌍 To Digital Surface Model (DSM)

DSM overview
Output 3D surface reconstruction

CARS is an open source 3D tool dedicated to produce Digital Surface Models from satellite imaging by photogrammetry. This Multiview Stereo framework is intended for massive DSM production with a robust, performant and modular design.

CARS is currently under active development and integrated into various projects & missions:

CO3D project ⁠      AI4GEO project ⁠      Evoland project ⁠


Its roadmap and implemented functionalities are evolving regularly depending on specific project requirements.

⁠🚀 Quick start

⁠△ On the way to the Pyramids...

You want to build the pyramids by yourself?

Dsm
Color
Color

Download our open licence⁠ Pleiades data sample⁠ to give CARS a try!

⁠🐋 with Docker

⁠🛠 Installation

CARS is available on Docker Hub and can be downloaded by:

docker pull cnes/cars
⁠⚙ Run CARS

You only need to launch one command:

docker run -w /data -v "$(pwd)"/data_gizeh:/data cnes/cars /data/configfile.yaml
⁠🐍 with pip

⁠🛠 Installation

CARS can also be downloaded using the pip install command:

pip install cars 
⁠⚙ Run CARS

Once you moved to the data_gizeh directory:

cars configfile.yaml

⁠📚 Documentation

Go to CARS Main Documentation⁠.

⁠📜 License

CARS is licensed under Apache License v2.0⁠. Please refer to the LICENSE⁠ file for more details.

⁠🤝 Contribution

To do a contribution, see the Contribution Guide⁠. For project evolution, see Changelog⁠.

⁠🆘 Help

For issues, questions, or feature requests, please open an issue on our GitHub Issues⁠ page or check the documentation⁠ for additional resources.

You can also ask your questions on the corresponding slack⁠.

⁠✒️ Credits

If you use CARS in your research, please cite the following paper:

@Article{isprs-archives-XLIX-B2-2026-593-2026,
AUTHOR = {Youssefi, D. and Bellet, V. and Steux, Y. and Roux, M. and Traizet, C. and Rassat, M. and Calendini, T.},
TITLE = {CARS: A Photogrammetric Pipeline for Global 3D Reconstruction using Satellite Imagery},
JOURNAL = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
VOLUME = {XLIX-B2-2026},
YEAR = {2026},
PAGES = {593--600},
URL = {https://isprs-archives.copernicus.org/articles/XLIX-B2-2026/593/2026/},
DOI = {10.5194/isprs-archives-XLIX-B2-2026-593-2026}
}

See Authors file⁠

⁠✉️ Contact

You can contact us on the following mail adress: [email protected]⁠

⁠🔗 References

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3 days ago

docker pull cnes/cars