commaai/rednose
A Kalman filter library for visual odometry, SLAM, and sensor-fusion localization with symbolic Jacobian computation.
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This library provides Extended Kalman Filter implementations designed for state estimation in robotics and computer vision systems. It features symbolic Jacobian computation using SymPy to eliminate manual derivative calculation errors when linearizing non-linear dynamic systems. The framework specifically targets 3D localization, visual odometry, and SLAM applications, supporting quaternion-based orientation tracking alongside traditional euler angle representations.
Frequently asked
- What is commaai/rednose?
- A Kalman filter library for visual odometry, SLAM, and sensor-fusion localization with symbolic Jacobian computation.
- Is rednose open source?
- Yes — commaai/rednose is open source, released under the MIT license.
- What language is rednose written in?
- commaai/rednose is primarily written in Python.
- How popular is rednose?
- commaai/rednose has 424 stars on GitHub.
- Where can I find rednose?
- commaai/rednose is on GitHub at https://github.com/commaai/rednose.