kalman filter & c++

This page summarizes the projects mentioned and recommended in the original post on /r/robotics

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InfluxDB high-performance time series database
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  1. mars_lib

    MaRS: A Modular and Robust Sensor-Fusion Framework

    If you’re interested more in the result and less in trying to implement it yourself, you might consider MaRS: https://github.com/aau-cns/mars_lib

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. mars_ros

    A ROS wrapper for the MaRS Library

    Which also has a ROS wrapper: https://github.com/aau-cns/mars_ros

  4. Kalman-and-Bayesian-Filters-in-Python

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

    https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python And on robotics in general

  5. PythonRobotics

    Python sample codes and textbook for robotics algorithms.

  6. Kalman

    Kalman Filter (by FrancoisCarouge)

    My goal with this Kalman filter for C++ is to solve your exact question.

  7. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that C++ is
the 7th most popular programming language
based on number of references?