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MAC-VO
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MAC-VO

[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

by MAC-VO · GitHub
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computer-visionslam-algorithmsvisual-odometryMITPython
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Use this code to create and improve visual odometry systems that track movement using stereo cameras.

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2026-07-202026-08-31
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📄 About

[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

MAC-VO has 929 stars on GitHub. It has been forked 61 times. MAC-VO is written mainly in Python. It has been in active development since 2024. MAC-VO is available under the MIT license. Its main topics are computer-vision, slam-algorithms, visual-odometry.

Frequently asked questions

What is MAC-VO?

[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

Is MAC-VO open source?

MAC-VO is an open-source project. It is released under the MIT license.

Is MAC-VO free?

Yes. MAC-VO is free and open source — you can use, modify and self-host it.

What license does MAC-VO use?

MAC-VO is available under the MIT license.

What language is MAC-VO written in?

MAC-VO is written mainly in Python.

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