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fed4a9bc5a
Add calculation of a vertical position derivative to the output predictor. This will have degraded tracking relative to the EKF states, but the velocity will be closer to the first derivative of the position and reduce the effect inertial prediction errors on control loops that are operating in a pure velocity feedback mode. Move calculation of IMU offset angular rate correction out of velocity accessor and into output predictor. Provide separate accessor for vertical position derivative.
ECL
Very lightweight Estimation & Control Library.
This library solves the estimation & control problems of a number of robots and drones. It accepts GPS, vision and inertial sensor inputs. It is extremely lightweight and efficient and yet has the rugged field-proven performance.
The library is BSD 3-clause licensed.
Building EKF Library
Prerequisites:
- Matrix: A lightweight, BSD-licensed matrix math library: https://github.com/px4/matrix - it is automatically included as submodule.
By following the steps mentioned below you can create a shared library which can be included in projects using -l flag of gcc:
mkdir Build/
cd Build/
cmake ../EKF
make
Alternatively, just run:
./build.sh